{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T23:44:13Z","timestamp":1774395853074,"version":"3.50.1"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"13-14","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100018542","name":"Natural Science Foundation of Sichuan Province","doi-asserted-by":"publisher","award":["No. 2023NSFSC0428"],"award-info":[{"award-number":["No. 2023NSFSC0428"]}],"id":[{"id":"10.13039\/501100018542","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Central Government Funds of Guiding Local Scientific and Technological Development","award":["No. 23ZYZYTS0369"],"award-info":[{"award-number":["No. 23ZYZYTS0369"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1007\/s00500-024-09627-w","type":"journal-article","created":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T09:02:09Z","timestamp":1720083729000},"page":"8247-8257","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["The global Mittag-Leffler synchronization problem of Caputo fractional-order inertial memristive neural networks with time-varying delays"],"prefix":"10.1007","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8533-1789","authenticated-orcid":false,"given":"Yong","family":"Wang","sequence":"first","affiliation":[]},{"given":"Jinmei","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,7,4]]},"reference":[{"key":"9627_CR1","volume-title":"Set-valued analysis","author":"J Aubin","year":"1990","unstructured":"Aubin J, Frankowska H (1990) Set-valued analysis. Birkh\u00e4user, Boston"},{"key":"9627_CR2","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.neunet.2014.02.003","volume":"53","author":"J Cao","year":"2014","unstructured":"Cao J, Wan Y (2014) Matrix measure strategies for stability and synchronization of inertial neural network with time-delays. Neural Netw 53:165\u2013172","journal-title":"Neural Netw"},{"issue":"3","key":"9627_CR3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neunet.2013.11.016","volume":"51","author":"J Chen","year":"2014","unstructured":"Chen J, Zeng Z (2014a) Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks. Neural Netw 51(3):1\u20138","journal-title":"Neural Netw"},{"issue":"3","key":"9627_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neunet.2013.11.016","volume":"51","author":"J Chen","year":"2014","unstructured":"Chen J, Zeng Z (2014b) Global Mittag-Leffler stability and synchronization of memristor-based fractional order neural networks. Neural Netw 51(3):1\u20138","journal-title":"Neural Netw"},{"key":"9627_CR5","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.neunet.2017.06.012","volume":"94","author":"L Chen","year":"2017","unstructured":"Chen L, Cao J, Wu R et al (2017) Stability and synchronization of fractional-order memristive neural networks with multiple delays. Neural Netw 94:76\u201385","journal-title":"Neural Netw"},{"key":"9627_CR6","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1016\/j.neucom.2018.06.029","volume":"31","author":"J Chen","year":"2018","unstructured":"Chen J, Li C, Yang X (2018a) Global Mittag-Leffler projective synchronization of nonidentical fractional-order neural networks with delay via sliding mode control. Neurocomputing 31:324\u2013332","journal-title":"Neurocomputing"},{"issue":"12","key":"9627_CR7","doi-asserted-by":"crossref","first-page":"2519","DOI":"10.1109\/TSMC.2018.2836952","volume":"49","author":"J Chen","year":"2018","unstructured":"Chen J, Chen B, Zeng Z (2018b) Global asymptotic stability and adaptive ultimate Mittag-Leffler synchronization for a fractional-order complex-valued memristive neural networks with delays. IEEE Trans Syst Man Cybern: Syst 49(12):2519\u20132535","journal-title":"IEEE Trans Syst Man Cybern: Syst"},{"issue":"5","key":"9627_CR8","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1109\/TCT.1971.1083337","volume":"18","author":"LO Chua","year":"1971","unstructured":"Chua LO (1971) Memristor-the missing circuit element. IEEE Trans Circuit Theory 18(5):507\u2013519","journal-title":"IEEE Trans Circuit Theory"},{"key":"9627_CR9","doi-asserted-by":"crossref","unstructured":"Dai XZ, Zhang Z, Wang Y, Li JZ, Chen L (2014) Multi-parameter magnetoelectric response modeling of magnetostrictive\/piezoelectric laminate composites considering shear strain. J Appl Phys 115(1). Article ID: 014104","DOI":"10.1063\/1.4860992"},{"key":"9627_CR10","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1186\/s13662-018-1800-y","volume":"1","author":"Y Fan","year":"2018","unstructured":"Fan Y, Huang X, Wang Z, Xia J, Li Y (2018) Global Mittag-Leffler synchronization of delayed fractional-order memristive neural networks. Adv Differ Equ 1:338","journal-title":"Adv Differ Equ"},{"key":"9627_CR11","doi-asserted-by":"crossref","unstructured":"Feng ZH, Wang Y, Ma X (2020) Asymptotically almost periodic solutions for certain differential equations with piecewise constant arguments. Adv Differ Equ 2020(1). Article ID: 242","DOI":"10.1186\/s13662-020-02699-6"},{"key":"9627_CR12","volume-title":"Differential equations with discontinuous righthand sides: control systems","author":"AF Filippov","year":"2013","unstructured":"Filippov AF (2013) Differential equations with discontinuous righthand sides: control systems. Springer Science & Business Media, Berlin"},{"key":"9627_CR13","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.neunet.2018.03.001","volume":"102","author":"S Gong","year":"2018","unstructured":"Gong S, Yang S, Guo Z, Huang T (2018) Global exponential synchronization of inertial memristive neural networks with time-varying delay via nonlinear controller. Neural Netw 102:138\u2013148","journal-title":"Neural Netw"},{"key":"9627_CR14","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/j.neucom.2019.03.005","volume":"340","author":"Y Gu","year":"2019","unstructured":"Gu Y, Wang H, Yu Y (2019) Stability and synchronization for Riemann\u2013Liouville fractional-order time-delayed inertial neural networks. Neurocomputing 340:270\u2013280","journal-title":"Neurocomputing"},{"key":"9627_CR15","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1016\/j.neunet.2018.08.020","volume":"108","author":"Z Guo","year":"2018","unstructured":"Guo Z, Gong S, Yang S et al (2018) Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling. Neural Netw 108:260\u2013271","journal-title":"Neural Netw"},{"key":"9627_CR16","doi-asserted-by":"crossref","unstructured":"He XB, Wang Y, Zhang YY, Ma X, Wu WQ, Zhang L (2022) A novel structure adaptive new information priority discrete grey prediction model and its application in renewable energy generation forecasting. Appl Energy 325. Article ID: 119854","DOI":"10.1016\/j.apenergy.2022.119854"},{"issue":"8","key":"9627_CR17","doi-asserted-by":"crossref","first-page":"2677","DOI":"10.1016\/j.na.2007.08.042","volume":"69","author":"V Lakshmikantham","year":"2008","unstructured":"Lakshmikantham V, Vatsala AS (2008) Basic theory of fractional differential equations. Nonlinear Anal Theory Methods Appl 69(8):2677\u20132682","journal-title":"Nonlinear Anal Theory Methods Appl"},{"key":"9627_CR18","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.fss.2021.11.004","volume":"443","author":"H-L Li","year":"2022","unstructured":"Li H-L, Hu C, Zhang L, Jiang HJ, Cao JD (2022) Complete and finite-time synchronization of fractional-order fuzzy neural networks via nonlinear feedback control. Fuzzy Sets Syst 443:50\u201369","journal-title":"Fuzzy Sets Syst"},{"key":"9627_CR19","doi-asserted-by":"crossref","first-page":"402","DOI":"10.1016\/j.apm.2019.01.039","volume":"70","author":"X Ma","year":"2019","unstructured":"Ma X, Xie M, Wu WQ, Zeng B, Wang Y, Wu XX (2019) The novel fractional discrete multivariate grey system model and its applications. Appl Math Model 70:402\u2013424","journal-title":"Appl Math Model"},{"key":"9627_CR20","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.isatra.2019.07.009","volume":"96","author":"X Ma","year":"2020","unstructured":"Ma X, Wu WQ, Zeng B, Wang Y, Wu XX (2020) The conformable fractional grey system model. ISA Trans 96:255\u2013271","journal-title":"ISA Trans"},{"key":"9627_CR21","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.ins.2020.05.055","volume":"536","author":"R Rajan","year":"2020","unstructured":"Rajan R, Gandhi V, Soundharajan P et al (2020) Almost periodic dynamics of memristive inertial neural networks with mixed delays. Inf Sci 536:332\u2013350","journal-title":"Inf Sci"},{"key":"9627_CR22","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1016\/j.neucom.2016.06.061","volume":"214","author":"R Rakkiyappan","year":"2016","unstructured":"Rakkiyappan R, Kumari EU, Chandrasekar A, Krishnasamy R (2016) Synchronization and periodicity of coupled inertial memristive neural networks with supremums. Neurocomputing 214:739\u2013749","journal-title":"Neurocomputing"},{"key":"9627_CR23","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1038\/nature06932","volume":"453","author":"DB Strukov","year":"2008","unstructured":"Strukov DB, Snider GS, Stewart DR (2008) The missing memristor found. Nature 453:80\u201383","journal-title":"Nature"},{"issue":"7191","key":"9627_CR24","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1038\/453042a","volume":"453","author":"JM Tour","year":"2008","unstructured":"Tour JM, He T (2008) Electronics the fourth element. Nature 453(7191):42\u201343","journal-title":"Nature"},{"key":"9627_CR25","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.neunet.2015.09.012","volume":"73","author":"G Velmurugan","year":"2016","unstructured":"Velmurugan G, Rakkiyappan R, Cao J (2016) Finite-time synchronization of fractional-order memristor-based neural networks with time delays. Neural Netw 73:36\u201346","journal-title":"Neural Netw"},{"key":"9627_CR26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neucom.2018.01.049","volume":"286","author":"L Wan","year":"2018","unstructured":"Wan L, Wu A (2018) Multistability in Mittag-Leffler sense of fractional-order neural networks with piecewise constant arguments. Neurocomputing 286:1\u201310","journal-title":"Neurocomputing"},{"issue":"8","key":"9627_CR27","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1615\/JPorMedia.v20.i8.30","volume":"20","author":"Y Wang","year":"2017","unstructured":"Wang Y, Yi XY (2017) Transient pressure behavior of a fractured vertical well with a finite-conductivity fracture in triple media carbonate reservoir. J Porous Media 20(8):707\u2013722","journal-title":"J Porous Media"},{"issue":"5","key":"9627_CR28","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1515\/ijnsns-2016-0075","volume":"19","author":"Y Wang","year":"2018","unstructured":"Wang Y, Yi XY (2018) Flow modeling of well test analysis for a multiple-fractured horizontal well in triple media carbonate reservoir. Int J Nonlinear Sci Numer Simul 19(5):439\u2013457","journal-title":"Int J Nonlinear Sci Numer Simul"},{"issue":"5","key":"9627_CR29","doi-asserted-by":"crossref","first-page":"977","DOI":"10.1007\/s11600-017-0086-x","volume":"65","author":"Y Wang","year":"2017","unstructured":"Wang Y, Tao ZW, Chen L, Ma X (2017) The nonlinear oil-water two-phase flow behavior for a horizontal well in triple media carbonate reservoir. Acta Geophys 65(5):977\u2013989","journal-title":"Acta Geophys"},{"issue":"4","key":"9627_CR30","doi-asserted-by":"crossref","first-page":"998","DOI":"10.4208\/aamm.OA-2017-0227","volume":"10","author":"Y Wang","year":"2018","unstructured":"Wang Y, Li MJ, Ma X, Gao WB, Xue GQ, Zhou J (2018a) Modeling the nonlinear oil-water two-phase flow behavior for a multiple-fractured horizontal well in triple media carbonate reservoir. Adv Appl Math Mech 10(4):998\u20131024","journal-title":"Adv Appl Math Mech"},{"issue":"3","key":"9627_CR31","doi-asserted-by":"crossref","first-page":"581","DOI":"10.4208\/aamm.OA-2017-0159","volume":"10","author":"Y Wang","year":"2018","unstructured":"Wang Y, Zhang C, Huang R, Cao HT, Ma X (2018b) Modeling oil-water two-phase flow behavior of a fractured vertical well with a finite-conductivity fracture in triple media carbonate reservoir. Adv Appl Math Mech 10(3):581\u2013610","journal-title":"Adv Appl Math Mech"},{"issue":"12","key":"9627_CR32","doi-asserted-by":"crossref","first-page":"1283","DOI":"10.1615\/JPorMedia.2018028663","volume":"21","author":"Y Wang","year":"2018","unstructured":"Wang Y, Zhang C, Chen T, Ma X (2018c) Modeling the nonlinear flow for a multiple-fractured horizontal well with multiple finite-conductivity fractures in triple media carbonate reservoir. J Porous Media 21(12):1283\u20131305","journal-title":"J Porous Media"},{"issue":"1","key":"9627_CR33","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1007\/s10553-019-01003-x","volume":"55","author":"Y Wang","year":"2019","unstructured":"Wang Y, Tian DH, Li GF, Zhang C, Chen T (2019) Dynamic analysis of a fractured vertical well in a triple media carbonate reservoir. Chem Technol Fuels Oils 55(1):56\u201365","journal-title":"Chem Technol Fuels Oils"},{"issue":"2","key":"9627_CR34","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s10553-020-01137-3","volume":"56","author":"Y Wang","year":"2020","unstructured":"Wang Y, Tao ZW, Tian DH, Ma X, Feng ZH (2020a) Optimizing injection process of water-alternate-gas using different produced gas densities in enriched-gas flooding. Chem Technol Fuels Oils 56(2):271\u2013284","journal-title":"Chem Technol Fuels Oils"},{"key":"9627_CR35","doi-asserted-by":"crossref","unstructured":"Wang Y, Tao ZW, Feng ZH (2020b) Dynamic analysis of oil-water two-phase flow for a multiple-fractured horizontal well with multiple finite-conductivity fractures in triple media carbonate reservoir. ZAMM-Zeitschrift fur Angewandte Mathematik und Mechanik 100(4). Article ID: e201900046","DOI":"10.1002\/zamm.201900046"},{"issue":"1","key":"9627_CR36","first-page":"55","volume":"82","author":"Y Wang","year":"2020","unstructured":"Wang Y, Tao ZW, Tian DH, Ma X, Li MJ, Feng ZH (2020c) Some novel results of T-periodic solutions for Rayleigh type equation with double deviating arguments. Univ Politech Buchar Sci Bull Ser a: Appl Math Phys 82(1):55\u201368","journal-title":"Univ Politech Buchar Sci Bull Ser a: Appl Math Phys"},{"key":"9627_CR37","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1016\/j.apm.2021.03.047","volume":"97","author":"Y Wang","year":"2021","unstructured":"Wang Y, Nie R, Ma X, Liu ZB, Chi P, Wu WQ, Guo BH, Yang XP, Zhang LF (2021) A novel Hausdorff fractional NGMC(p, n) grey prediction model with Grey Wolf Optimizer and its applications in forecasting energy production and conversion of China. Appl Math Model 97:381\u2013397","journal-title":"Appl Math Model"},{"key":"9627_CR38","doi-asserted-by":"crossref","unstructured":"Wang Y, He XB, Zhang L, Ma X, Wu WQ, Nie R, Chi P, Zhang YY (2022a) A novel fractional time-delayed grey Bernoulli forecasting model and its application for the energy production and consumption prediction. Eng Appl Artif Intell 110. Article ID: 104683","DOI":"10.1016\/j.engappai.2022.104683"},{"key":"9627_CR39","doi-asserted-by":"crossref","unstructured":"Wang Y, Chi P, Nie R, Ma X, Wu WQ, Guo BH (2022b) Self-adaptive discrete grey model based on a novel fractional order reverse accumulation sequence and its application in forecasting clean energy power generation in China. Energy 253. Article ID: 124093","DOI":"10.1016\/j.energy.2022.124093"},{"key":"9627_CR40","doi-asserted-by":"crossref","unstructured":"Wang Y, Wang L, Ye LL, Ma X, Wu WQ, Yang ZS, He XB, Zhang L, Zhang YY, Zhou Y, Luo YX (2022c) A novel self-adaptive fractional multivariable grey model and its application in forecasting energy production and conversion of China. Eng Appl Artif Intell 115. Article ID: 105319","DOI":"10.1016\/j.engappai.2022.105319"},{"key":"9627_CR41","doi-asserted-by":"crossref","unstructured":"Wang Y, Nie R, Chi P, Ma X, Wu WQ, Guo BH, He XB, Zhang L, Zhang YY (2022d) A novel fractional structural adaptive grey Chebyshev polynomial Bernoulli model and its application in forecasting renewable energy production of China. Expert Syst Appl 210. Article ID: 118500","DOI":"10.1016\/j.eswa.2022.118500"},{"key":"9627_CR42","doi-asserted-by":"crossref","unstructured":"Wang Y, Yang ZS, Wang L, Ma X, Wu WQ, Ye LL, Zhou Y, Luo YX (2022e) Forecasting China\u2019s energy production and consumption based on a novel structural adaptive Caputo fractional grey prediction model. Energy 259. Article ID: 124935","DOI":"10.1016\/j.energy.2022.124935"},{"key":"9627_CR43","doi-asserted-by":"crossref","unstructured":"Wang Y, Ye LL, Yang ZS, Ma X, Wu WQ, Wang L, He XB, Zhang L, Zhang YY, Zhou Y, Luo YX (2022f) A novel structure adaptive fractional discrete grey forecasting model and its application in China\u2019s crude oil production prediction. Expert Syst Appl 207. Article ID: 118104","DOI":"10.1016\/j.eswa.2022.118104"},{"issue":"2","key":"9627_CR44","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1080\/01969722.2022.2055991","volume":"54","author":"Y Wang","year":"2023","unstructured":"Wang Y, Zhang L, He XB, Ma X, Wu WQ, Nie R, Chi P, Zhang YY (2023a) A novel exponential time delayed fractional grey model and its application in forecasting oil production and consumption of China. Cybern Syst 54(2):168\u2013196","journal-title":"Cybern Syst"},{"key":"9627_CR45","doi-asserted-by":"crossref","unstructured":"Wang Y, Yang ZS, Ye LL, Wang L, Zhou Y, Luo YX (2023b) A novel self-adaptive fractional grey Euler model with dynamic accumulation order and its application in energy production prediction of China. Energy 265. Article ID: 126384","DOI":"10.1016\/j.energy.2022.126384"},{"key":"9627_CR46","doi-asserted-by":"crossref","first-page":"9321","DOI":"10.1007\/s00500-023-08203-y","volume":"27","author":"Y Wang","year":"2023","unstructured":"Wang Y, Chi P, Nie R, Ma X, Wu WQ, Guo BH (2023c) A novel fractional discrete grey model with variable weight buffer operator and its applications in renewable energy prediction. Soft Comput 27:9321\u20139345","journal-title":"Soft Comput"},{"key":"9627_CR47","doi-asserted-by":"crossref","unstructured":"Wang Y, Sun L, Yang R, He WA, Tang YB, Zhang ZJ, Wang YH, Sapnken FE (2023d) A novel structure adaptive fractional derivative grey model and its application in energy consumption prediction. Energy 282. Article ID: 128380","DOI":"10.1016\/j.energy.2023.128380"},{"key":"9627_CR48","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.energy.2018.09.155","volume":"165","author":"WQ Wu","year":"2018","unstructured":"Wu WQ, Ma X, Zeng B, Wang Y, Cai W (2018) Application of the novel fractional grey model FAGMO(1,1,k) to predict China\u2019s nuclear energy consumption. Energy 165:223\u2013234","journal-title":"Energy"},{"key":"9627_CR49","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.renene.2019.03.006","volume":"140","author":"WQ Wu","year":"2019","unstructured":"Wu WQ, Ma X, Zeng B, Wang Y, Cai W (2019a) Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model. Renew Energy 140:70\u201387","journal-title":"Renew Energy"},{"issue":"3","key":"9627_CR50","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1108\/GS-11-2018-0052","volume":"9","author":"WQ Wu","year":"2019","unstructured":"Wu WQ, Ma X, Wang Y, Zhang YY, Zeng B (2019b) Research on a novel fractional GM(alpha, n) model and its applications. Grey Syst Theory Appl 9(3):356\u2013373","journal-title":"Grey Syst Theory Appl"},{"issue":"2","key":"9627_CR51","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1108\/GS-11-2018-0053","volume":"9","author":"WQ Wu","year":"2019","unstructured":"Wu WQ, Ma X, Zhang YY, Wang Y, Wu XX (2019c) Analysis of novel FAGM(1,1, t) model to forecast health expenditure of China. Grey Syst Theory Appl 9(2):232\u2013250","journal-title":"Grey Syst Theory Appl"},{"key":"9627_CR52","doi-asserted-by":"crossref","unstructured":"Wu WQ, Ma X, Zhang YY, Li WP, Wang Y (2020a) A novel conformable fractional non-homogeneous grey model for forecasting carbon dioxide emissions of BRICS countries. Sci Total Environ 707. Article ID: 135447","DOI":"10.1016\/j.scitotenv.2019.135447"},{"key":"9627_CR53","doi-asserted-by":"crossref","unstructured":"Wu WQ, Ma X, Wang Y, Cai W, Zeng B (2020b) Predicting China\u2019s energy consumption using a novel grey Riccati model. Appl Soft Comput 95. Article ID: 106555","DOI":"10.1016\/j.asoc.2020.106555"},{"key":"9627_CR54","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.apm.2020.04.006","volume":"84","author":"WQ Wu","year":"2020","unstructured":"Wu WQ, Ma X, Zeng B, Lv WY, Wang Y, Li WP (2020c) A novel Grey Bernoulli model for short-term natural gas consumption forecasting. Appl Math Model 84:393\u2013404","journal-title":"Appl Math Model"},{"issue":"6","key":"9627_CR55","first-page":"3379","volume":"28","author":"W Wu","year":"2021","unstructured":"Wu W, Ma X, Wang Y, Cai W, Zeng B (2021) Predicting primary energy consumption using NDGM(1,1, k, c) model with Simpson formula. Sci Iran 28(6):3379\u20133395","journal-title":"Sci Iran"},{"key":"9627_CR56","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1016\/j.neucom.2016.09.049","volume":"219","author":"J Xiao","year":"2016","unstructured":"Xiao J, Zhong S, Li Y, Xu F (2016) Finite-time Mittag-Leffler synchronization of fractional-order memristive BAM neural networks with time delays. Neurocomputing 219:431\u2013439","journal-title":"Neurocomputing"},{"key":"9627_CR57","doi-asserted-by":"crossref","unstructured":"Yan Q, Dai XZ, Zhang Z, Wang LJ, Wang Y (2022) Broadband vibration energy harvester based on nonlinear magnetic force and rotary pendulums. Smart Mater Struct 31(1). Article ID: 015035","DOI":"10.1088\/1361-665X\/ac3c01"},{"key":"9627_CR58","doi-asserted-by":"crossref","unstructured":"Yang ZS, Wang Y, Zhou Y, Wang L, Ye LL, Luo YX (2023) Forecasting China\u2019s electricity generation using a novel structural adaptive discrete grey Bernoulli model. Energy 278. Article ID: 127824","DOI":"10.1016\/j.energy.2023.127824"},{"key":"9627_CR59","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.neucom.2020.04.099","volume":"404","author":"W Yao","year":"2020","unstructured":"Yao W, Wang C, Sun Y (2020) el al, Synchronization of inertial memristive neural networks with time-varying delays via static or dynamic event-triggered control. Neurocomputing 404:367\u2013380","journal-title":"Neurocomputing"},{"issue":"5","key":"9627_CR60","doi-asserted-by":"crossref","first-page":"5703","DOI":"10.3233\/JIFS-212939","volume":"43","author":"LJ Yao","year":"2022","unstructured":"Yao LJ, Feng ZH, Wang Y (2022) A representation of bifinite domains by rough approximable concepts. J Intell Fuzzy Syst 43(5):5703\u20135708","journal-title":"J Intell Fuzzy Syst"},{"key":"9627_CR61","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.neucom.2018.06.033","volume":"313","author":"T Yu","year":"2018","unstructured":"Yu T, Wang H, Su M et al (2018) Distributed-delay-dependent exponential stability of impulsive neural networks with inertial term. Neurocomputing 313:220\u2013228","journal-title":"Neurocomputing"},{"key":"9627_CR62","doi-asserted-by":"crossref","unstructured":"Yu L, Ma X, Wu WQ, Xiang XW, Wang Y, Zeng B (2021a) Application of a novel time-delayed power-driven grey model to forecast photovoltaic power generation in the Asia-Pacific region. Sustain Energy Technol Assess 44. Article ID: 100968","DOI":"10.1016\/j.seta.2020.100968"},{"key":"9627_CR63","doi-asserted-by":"crossref","unstructured":"Yu L, Ma X, Wu WQ, Wang Y, Zeng B (2021b) A novel elastic net-based NGBMC(1,n) model with multi-objective optimization for nonlinear time series forecasting. Commun Nonlinear Sci Numer Simul 96. Article ID: 105696","DOI":"10.1016\/j.cnsns.2021.105696"},{"key":"9627_CR64","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.nahs.2014.10.001","volume":"16","author":"S Zhang","year":"2015","unstructured":"Zhang S, Yu Y, Wang H (2015) Mittag-Leffler stability of fractional-order Hopfield neural networks. Nonlinear Anal Hybrid Syst 16:104\u2013121","journal-title":"Nonlinear Anal Hybrid Syst"},{"key":"9627_CR65","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.1016\/j.jfranklin.2017.12.017","volume":"355","author":"L Zhang","year":"2018","unstructured":"Zhang L, Yang Y, Wang F, Sui X (2018) Lag synchronization for fractional-order memristive neural networks with time delay via switching jumps mismatch. J Frankl Inst 355:1217\u20131240","journal-title":"J Frankl Inst"},{"key":"9627_CR66","volume":"647","author":"X-L Zhang","year":"2023","unstructured":"Zhang X-L, Li H-L, Yu YG, Wang ZL (2023) Quasi-synchronization and stabilization of discrete-time fractional-order memristive neural networks with time delays. Inf Sci 647:119461","journal-title":"Inf Sci"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-024-09627-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-024-09627-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-024-09627-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,17]],"date-time":"2024-08-17T06:39:10Z","timestamp":1723876750000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-024-09627-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":66,"journal-issue":{"issue":"13-14","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["9627"],"URL":"https:\/\/doi.org\/10.1007\/s00500-024-09627-w","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7]]},"assertion":[{"value":"30 December 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 July 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}