{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T07:11:25Z","timestamp":1780557085491,"version":"3.54.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2016,11,1]],"date-time":"2016-11-01T00:00:00Z","timestamp":1477958400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2018,6]]},"DOI":"10.1007\/s00521-016-2641-9","type":"journal-article","created":{"date-parts":[[2016,11,1]],"date-time":"2016-11-01T07:19:15Z","timestamp":1477984755000},"page":"1309-1320","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":69,"title":["Finite-time stability analysis for fractional-order Cohen\u2013Grossberg BAM neural networks with time delays"],"prefix":"10.1007","volume":"29","author":[{"given":"C.","family":"Rajivganthi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"F. A.","family":"Rihan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Lakshmanan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.","family":"Muthukumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,11,1]]},"reference":[{"key":"2641_CR1","doi-asserted-by":"crossref","unstructured":"Kilbas AA, Srivastava HM, Trujillo JJ (2006) Theory and applications of fractional differential equations. Amsterdam","DOI":"10.3182\/20060719-3-PT-4902.00008"},{"key":"2641_CR2","volume-title":"Theoretical developments and applications. Advance in fractional calculus","author":"J Sabatier","year":"2007","unstructured":"Sabatier J, Agrawal O, Machado J (2007) Theoretical developments and applications. Advance in fractional calculus. Springer, Berlin"},{"key":"2641_CR3","volume-title":"Theory of fractional dynamic systems","author":"V Lakshmikantham","year":"2009","unstructured":"Lakshmikantham V, Leela S, Devi JV (2009) Theory of fractional dynamic systems. Cambridge Scientific Publishers, Cambridge"},{"key":"2641_CR4","doi-asserted-by":"crossref","unstructured":"Rihan FA (2013) Numerical modeling of fractional-order biological systems. Abstract Appl Anal 2013:1\u201311","DOI":"10.1155\/2013\/816803"},{"key":"2641_CR5","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1007\/s11071-015-1905-8","volume":"80","author":"FA Rihan","year":"2015","unstructured":"Rihan FA, Lakshmanan S, Hashish A, Rakkiyappan R, Ahmed E (2015) Fractional order delayed predator\u2013prey systems with Holling type-II functional response. Nonlinear Dyn 80:777\u2013789","journal-title":"Nonlinear Dyn"},{"key":"2641_CR6","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.1038\/nn.2212","volume":"11","author":"BN Lundstrom","year":"2008","unstructured":"Lundstrom BN, Higgs MH, Spain WJ, Fairhall AL (2008) Fractional differentiation by neocortical pyramidal neurons. Nat Neurosci 11:1335\u20131342","journal-title":"Nat Neurosci"},{"key":"2641_CR7","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.chaos.2015.08.003","volume":"78","author":"R Rakkiyappan","year":"2015","unstructured":"Rakkiyappan R, Velmurugan G, Cao J (2015) Stability analysis of fractional-order complex-valued neural networks with time delays. Chaos Solitons Fractals 78:297\u2013316","journal-title":"Chaos Solitons Fractals"},{"key":"2641_CR8","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1016\/j.neucom.2015.05.063","volume":"168","author":"S Liang","year":"2015","unstructured":"Liang S, Wu R, Chen L (2015) Comparison principles and stability of nonlinear fractional-order cellular neural networks with multiple time delays. Neurocomputing 168:618\u2013625","journal-title":"Neurocomputing"},{"key":"2641_CR9","doi-asserted-by":"publisher","DOI":"10.1002\/cplx.21821","author":"C Rajivganthi","year":"2016","unstructured":"Rajivganthi C, Rihan FA, Lakshmanan S, Rakkiyappan R, Muthukumar P (2016) Synchronization of memristor-based delayed BAM neural networks with fractional-order derivatives. Complexity. doi: 10.1002\/cplx.21821","journal-title":"Complexity"},{"key":"2641_CR10","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1016\/j.neucom.2014.03.047","volume":"142","author":"C Song","year":"2014","unstructured":"Song C, Cao J (2014) Dynamics in fractional-order neural networks. Neurocomputing 142:494\u2013498","journal-title":"Neurocomputing"},{"key":"2641_CR11","first-page":"104","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 16:104\u2013121","journal-title":"Nonlinear Anal"},{"key":"2641_CR12","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 BAM neural network with time delays. Neural Netw 53:165\u2013172","journal-title":"Neural Netw"},{"key":"2641_CR13","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.neunet.2013.11.005","volume":"50","author":"AC Zhang","year":"2014","unstructured":"Zhang AC, Qiu JL, She JH (2014) Existence and global exponential stability of periodic solution for high-order discrete-time BAM neural networks. Neural Netw 50:98\u2013109","journal-title":"Neural Netw"},{"key":"2641_CR14","doi-asserted-by":"crossref","first-page":"6078","DOI":"10.1016\/j.amc.2010.12.077","volume":"217","author":"Q Zhu","year":"2011","unstructured":"Zhu Q, Li X, Yang X (2011) Exponential stability for stochastic reaction diffusion BAM neural networks with time-varying and distributed delays. Appl Math Comput 217:6078\u20136091","journal-title":"Appl Math Comput"},{"key":"2641_CR15","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.neucom.2014.01.018","volume":"136","author":"Q Zhu","year":"2014","unstructured":"Zhu Q, Rakkiyappan R, Chandrasekar A (2014) Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control. Neurocomputing 136:136\u2013151","journal-title":"Neurocomputing"},{"key":"2641_CR16","doi-asserted-by":"crossref","first-page":"3059","DOI":"10.1016\/j.nonrwa.2008.10.039","volume":"10","author":"H Gu","year":"2009","unstructured":"Gu H, Jiang H, Teng Z (2009) BAM-type impulsive neural networks with time-varying delays. Nonlinear Anal Real World Appl 10:3059\u20133072","journal-title":"Nonlinear Anal Real World Appl"},{"key":"2641_CR17","doi-asserted-by":"crossref","unstructured":"Yang X, Song Q, Liu Y, Zhao Z (2014) Uniform stability analysis of fractional-order BAM neural networks with delays in the leakage terms. Abstract Appl Anal 154:1\u201316, Id-261930","DOI":"10.1155\/2014\/261930"},{"key":"2641_CR18","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1109\/TSMC.1983.6313075","volume":"13","author":"MA Cohen","year":"1983","unstructured":"Cohen MA, Grossberg S (1983) Absolute stability of global pattern formulation and parallel memory storage by competitive neural networks. IEEE Trans Syst Man Cybern 13:815\u2013826","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"2641_CR19","doi-asserted-by":"crossref","first-page":"1314","DOI":"10.1109\/TNN.2010.2054108","volume":"21","author":"Q Zhu","year":"2010","unstructured":"Zhu Q, Cao J (2010) Robust exponential stability of Markovian jump impulsive stochastic Cohen\u2013Grossberg neural networks with mixed time delays. IEEE Trans Neural Netw 21:1314\u20131325","journal-title":"IEEE Trans Neural Netw"},{"key":"2641_CR20","doi-asserted-by":"crossref","first-page":"1085","DOI":"10.1007\/s11071-014-1725-2","volume":"79","author":"Q Zhu","year":"2015","unstructured":"Zhu Q, Cao J, Rakkiyappan R (2015) Exponential input-to-state stability of stochastic Cohen\u2013Grossberg neural networks with mixed delays. Nonlinear Dyn 79:1085\u20131098","journal-title":"Nonlinear Dyn"},{"key":"2641_CR21","doi-asserted-by":"crossref","first-page":"3147","DOI":"10.1016\/j.neucom.2010.06.011","volume":"73","author":"A Tian","year":"2010","unstructured":"Tian A, Gai M, Shi B, Zhang Q (2010) Existence and exponential stability of periodic solution for a class of Cohen\u2013Grossberg type BAM neural networks. Neurocomputing 73:3147\u20133159","journal-title":"Neurocomputing"},{"key":"2641_CR22","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1016\/j.jmaa.2010.06.055","volume":"373","author":"W Ding","year":"2011","unstructured":"Ding W, Wang L (2011) $$2^{N}$$ 2 N almost periodic attractors for Cohen\u2013Grossberg type BAM neural networks with variable coefficients and distributed delays. J Math Anal Appl 373:322\u2013342","journal-title":"J Math Anal Appl"},{"key":"2641_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/s10440-016-0059-0","author":"N Muoi","year":"2016","unstructured":"Muoi N, Rajchakit G, Phat VN (2016) Lmi approach to finite-time stability and stabilization of singular linear discrete delay systems. Acta Appl Math. doi: 10.1007\/s10440-016-0059-0","journal-title":"Acta Appl Math"},{"key":"2641_CR24","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/j.neucom.2015.02.030","volume":"160","author":"P Niamsup","year":"2015","unstructured":"Niamsup P, Ratchagit K, Phat V (2015) Novel criteria for finite-time stabilization and guaranteed cost control of delayed neural networks. Neurocomputing 160:281\u2013286","journal-title":"Neurocomputing"},{"key":"2641_CR25","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.neucom.2014.11.023","volume":"152","author":"X Yang","year":"2015","unstructured":"Yang X, Song Q, Liu Y, Zhao Z (2015) Finite-time stability analysis of fractional-order neural networks with delay. Neurocomputing 152:19\u201326","journal-title":"Neurocomputing"},{"key":"2641_CR26","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1007\/s00521-015-1876-1","volume":"27","author":"L Chen","year":"2016","unstructured":"Chen L, Liu C, Wu R, He Y, Chai Y (2016) Finite-time stability criteria for a class of fractional-order neural networks with delay. Neural Comput Appl 27:549\u2013556","journal-title":"Neural Comput Appl"},{"key":"2641_CR27","doi-asserted-by":"crossref","first-page":"2823","DOI":"10.1007\/s11071-014-1628-2","volume":"78","author":"R Rakkiyappan","year":"2014","unstructured":"Rakkiyappan R, Velmurugan G, Cao J (2014) Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with time delays. Nonlinear Dyn 78:2823\u20132836","journal-title":"Nonlinear Dyn"},{"key":"2641_CR28","doi-asserted-by":"crossref","unstructured":"Cao Y, Bai C (2014) Finite-time stability of fractional-order BAM neural networks with distributed delay. Abstract Appl Anal 2014:1\u20138, Id-634803","DOI":"10.1155\/2014\/634803"},{"key":"2641_CR29","doi-asserted-by":"crossref","first-page":"1102","DOI":"10.1080\/00207160.2014.935734","volume":"92","author":"Y Ke","year":"2015","unstructured":"Ke Y, Miao C (2015) Stability analysis of fractional-order Cohen\u2013Grossberg neural networks with time delay. Int J Comput Math 92:1102\u20131113","journal-title":"Int J Comput Math"},{"key":"2641_CR30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.matcom.2015.04.005","volume":"116","author":"J Jian","year":"2015","unstructured":"Jian J, Wang B (2015) Global Lagrange stability for neutral-type Cohen\u2013Grossberg BAM neural networks with mixed time-varying delays. Math Comput Simul 116:1\u201325","journal-title":"Math Comput Simul"},{"key":"2641_CR31","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-016-2461-y","author":"G Rajchakit","year":"2016","unstructured":"Rajchakit G, Saravanakumar R (2016) Exponential stability of semi-Markovian jump generalized neural networks with interval time-varying delays. Neural Comput Appl. doi: 10.1007\/s00521-016-2461-y","journal-title":"Neural Comput Appl"},{"key":"2641_CR32","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2015.1135359","author":"R Saravanakumar","year":"2016","unstructured":"Saravanakumar R, Ali M, Cao J, Huang H (2016) H state estimation of generalised neural networks with interval time-varying delays. Int J Syst Sci. doi: 10.1080\/00207721.2015.1135359","journal-title":"Int J Syst Sci"},{"key":"2641_CR33","first-page":"341","volume":"41","author":"Q Zhu","year":"2011","unstructured":"Zhu Q, Cao J (2011) Exponential stability of stochastic neural networks with both Markovian jump parameters and mixed time delays. IEEE Trans Syst Cybern 41:341\u2013353","journal-title":"IEEE Trans Syst Cyber"},{"key":"2641_CR34","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.neucom.2013.10.029","volume":"131","author":"Q Zhu","year":"2014","unstructured":"Zhu Q, Cao J (2014) Mean-square exponential input-to-state stability of stochastic delayed neural networks. Neurocomputing 131:157\u2013163","journal-title":"Neurocomputing"},{"key":"2641_CR35","doi-asserted-by":"crossref","first-page":"2531","DOI":"10.1016\/j.nonrwa.2008.05.009","volume":"10","author":"Q Zhou","year":"2009","unstructured":"Zhou Q, Wan L (2009) Impulsive effects on stability of Cohen\u2013Grossberg type bidirectional associative memory neural networks with delays. Nonlinear Anal Real World Appl 10:2531\u20132540","journal-title":"Nonlinear Anal Real World Appl"},{"key":"2641_CR36","doi-asserted-by":"crossref","first-page":"2329","DOI":"10.1016\/j.matcom.2010.05.012","volume":"80","author":"K Li","year":"2010","unstructured":"Li K, Zeng H (2010) Stability in impulsive Cohen\u2013Grossberg type BAM neural networks with time-varying delays: a general analysis. Math Comput Simul 80:2329\u20132349","journal-title":"Math Comput Simul"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-016-2641-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2641-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-016-2641-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,27]],"date-time":"2020-09-27T02:03:06Z","timestamp":1601172186000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-016-2641-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11,1]]},"references-count":36,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2018,6]]}},"alternative-id":["2641"],"URL":"https:\/\/doi.org\/10.1007\/s00521-016-2641-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,11,1]]}}}