{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T16:00:58Z","timestamp":1772035258045,"version":"3.50.1"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"18","license":[{"start":{"date-parts":[[2017,1,30]],"date-time":"2017-01-30T00:00:00Z","timestamp":1485734400000},"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":["Multimed Tools Appl"],"published-print":{"date-parts":[[2017,9]]},"DOI":"10.1007\/s11042-016-4319-9","type":"journal-article","created":{"date-parts":[[2017,1,30]],"date-time":"2017-01-30T04:58:00Z","timestamp":1485752280000},"page":"18749-18770","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["A novel macroeconomic forecasting model based on revised multimedia assisted BP neural network model and ant Colony algorithm"],"prefix":"10.1007","volume":"76","author":[{"given":"Yuting","family":"Kuang","sequence":"first","affiliation":[]},{"given":"Ritika","family":"Singh","sequence":"additional","affiliation":[]},{"given":"Saumya","family":"Singh","sequence":"additional","affiliation":[]},{"given":"Shri Prakash","family":"Singh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,1,30]]},"reference":[{"issue":"1","key":"4319_CR1","first-page":"1","volume":"3","author":"AA Adebiyi","year":"2012","unstructured":"Adebiyi AA et al (2012) Stock price prediction using neural network with hybridized market indicators. Journal of Emerging Trends in Computing and Information Sciences 3(1):1\u20139","journal-title":"Journal of Emerging Trends in Computing and Information Sciences"},{"key":"4319_CR2","doi-asserted-by":"crossref","first-page":"24","DOI":"10.3389\/fncom.2016.00024","volume":"10","author":"N Ahmad","year":"2016","unstructured":"Ahmad N et al (2016) Harmonic training and the formation of pitch representation in a neural network model of the auditory brain. Front Comput Neurosci 10:24","journal-title":"Front Comput Neurosci"},{"key":"4319_CR3","unstructured":"Athanasopoulos G, Vahid F (2012) VARMA versus VAR for macroeconomic forecasting. J Bus Econ Stat"},{"issue":"6","key":"4319_CR4","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1002\/for.2345","volume":"34","author":"TJ Berge","year":"2015","unstructured":"Berge TJ (2015) Predicting recessions with leading indicators: model averaging and selection over the business cycle. J Forecast 34(6):455\u2013471","journal-title":"J Forecast"},{"issue":"7","key":"4319_CR5","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1002\/for.2260","volume":"32","author":"M Billio","year":"2013","unstructured":"Billio M et al (2013) Evaluation of regime switching models for real-time business cycle analysis of the euro area. J Forecast 32(7):577\u2013586","journal-title":"J Forecast"},{"issue":"3","key":"4319_CR6","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1108\/SEF-05-2014-0089","volume":"33","author":"AT Bui","year":"2016","unstructured":"Bui AT et al (2016) The relative term structure and the Australian-US exchange rate. Studies in Economics and Finance 33(3):417\u2013436","journal-title":"Studies in Economics and Finance"},{"key":"4319_CR7","doi-asserted-by":"crossref","unstructured":"Capecci E et al (2016) Longitudinal study of alzheimer\u2019s disease degeneration through EEG data analysis with a NeuCube spiking neural network model. 2016 International Joint Conference on Neural Networks (IJCNN). IEEE","DOI":"10.1109\/IJCNN.2016.7727356"},{"key":"4319_CR8","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1016\/j.ijepes.2013.05.038","volume":"53","author":"W-Y Chang","year":"2013","unstructured":"Chang W-Y (2013) Estimation of the state of charge for a LFP battery using a hybrid method that combines a RBF neural network, an OLS algorithm and AGA. Int J Electr Power Energy Syst 53:603\u2013611","journal-title":"Int J Electr Power Energy Syst"},{"key":"4319_CR9","doi-asserted-by":"crossref","unstructured":"Chen Q, Ye M (2014) Analysis of the Fault Diagnosis Method for Wind Turbine Generator Bearing Based on Improved Wavelet Packet-BP Neural Network. In: International Conference on Life System Modeling and Simulation and International Conference on Intelligent Computing for Sustainable Energy and Environment. Springer, Berlin Heidelberg","DOI":"10.1007\/978-3-662-45286-8_2"},{"issue":"1","key":"4319_CR10","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1109\/TSMCB.2011.2164245","volume":"42","author":"I Ciornei","year":"2012","unstructured":"Ciornei I, Kyriakides E (2012) Hybrid ant colony-genetic algorithm (GAAPI) for global continuous optimization. IEEE Trans Syst Man Cybern B Cybern 42(1):234\u2013245","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"key":"4319_CR11","doi-asserted-by":"crossref","unstructured":"Clark TE (2012) Real-time density forecasts from Bayesian vector autoregressions with stochastic volatility. J Bus Econ Stat","DOI":"10.1198\/jbes.2010.09248"},{"issue":"3","key":"4319_CR12","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1002\/jae.2274","volume":"28","author":"MP Clements","year":"2013","unstructured":"Clements MP, Galv\u00e3o AB (2013) Real-time forecasting of inflation and output growth with autoregressive models in the presence of data revisions. J Appl Econ 28(3):458\u2013477","journal-title":"J Appl Econ"},{"issue":"4","key":"4319_CR13","doi-asserted-by":"crossref","first-page":"1099","DOI":"10.1016\/j.econmod.2012.03.027","volume":"29","author":"G Cubadda","year":"2012","unstructured":"Cubadda G, Guardabascio B (2012) A medium-N approach to macroeconomic forecasting. Econ Model 29(4):1099\u20131105","journal-title":"Econ Model"},{"issue":"2","key":"4319_CR14","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1111\/j.1468-0084.2011.00642.x","volume":"74","author":"A D\u2019Agostino","year":"2012","unstructured":"D\u2019Agostino A, Giannone D (2012) Comparing alternative predictors based on large-panel factor models. Oxf Bull Econ Stat 74(2):306\u2013326","journal-title":"Oxf Bull Econ Stat"},{"issue":"3","key":"4319_CR15","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1111\/rssa.12068","volume":"178","author":"S Eickmeier","year":"2015","unstructured":"Eickmeier S, Lemke W, Marcellino M (2015) Classical time varying factor-augmented vector auto-regressive models\u2014estimation, forecasting and structural analysis. J R Stat Soc A Stat Soc 178(3):493\u2013533","journal-title":"J R Stat Soc A Stat Soc"},{"key":"4319_CR16","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.compstruct.2016.02.066","volume":"144","author":"NIE Farhana","year":"2016","unstructured":"Farhana NIE et al (2016) A novel vibration based non-destructive testing for predicting glass fibre\/matrix volume fraction in composites using a neural network model. Compos Struct 144:96\u2013107","journal-title":"Compos Struct"},{"issue":"3","key":"4319_CR17","doi-asserted-by":"crossref","first-page":"664","DOI":"10.1016\/j.ijforecast.2014.11.005","volume":"31","author":"L Ferrara","year":"2015","unstructured":"Ferrara L, Marcellino M, Mogliani M (2015) Macroeconomic forecasting during the great recession: the return of non-linearity? Int J Forecast 31(3):664\u2013679","journal-title":"Int J Forecast"},{"key":"4319_CR18","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.jimonfin.2015.03.001","volume":"54","author":"D Ferraro","year":"2015","unstructured":"Ferraro D, Rogoff K, Rossi B (2015) Can oil prices forecast exchange rates? An empirical analysis of the relationship between commodity prices and exchange rates. J Int Money Financ 54:116\u2013141","journal-title":"J Int Money Financ"},{"key":"4319_CR19","doi-asserted-by":"crossref","unstructured":"Franses PH, McAleer M, Legerstee R (2012) Evaluating macroeconomic forecasts: a concise review of some recent developments","DOI":"10.1111\/joes.12000"},{"issue":"1","key":"4319_CR20","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1111\/j.1468-0084.2012.00721.x","volume":"75","author":"JJJ Groen","year":"2013","unstructured":"Groen JJJ, Kapetanios G (2013) Model selection criteria for factor-augmented regressions. Oxf Bull Econ Stat 75(1):37\u201363","journal-title":"Oxf Bull Econ Stat"},{"issue":"6","key":"4319_CR21","doi-asserted-by":"crossref","first-page":"064502","DOI":"10.1115\/1.4033156","volume":"138","author":"L Gu","year":"2016","unstructured":"Gu L, Zheng T (2016) Study on the generalized Holo-factors mathematical model of dimension-error and shape-error for sheet metal in stamping based on the back propagation (BP) neural network. J Manuf Sci Eng 138(6):064502","journal-title":"J Manuf Sci Eng"},{"issue":"3","key":"4319_CR22","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1016\/j.dss.2013.02.006","volume":"55","author":"M Hagenau","year":"2013","unstructured":"Hagenau M, Liebmann M, Neumann D (2013) Automated news reading: stock price prediction based on financial news using context-capturing features. Decis Support Syst 55(3):685\u2013697","journal-title":"Decis Support Syst"},{"issue":"2","key":"4319_CR23","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.jeconom.2012.06.008","volume":"171","author":"E Herbst","year":"2012","unstructured":"Herbst E, Schorfheide F (2012) Evaluating DSGE model forecasts of comovements. J Econ 171(2):152\u2013166","journal-title":"J Econ"},{"issue":"2","key":"4319_CR24","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1016\/j.ejor.2014.02.022","volume":"237","author":"T Huang","year":"2014","unstructured":"Huang T, Fildes R, Soopramanien D (2014) The value of competitive information in forecasting FMCG retail product sales and the variable selection problem. Eur J Oper Res 237(2):738\u2013748","journal-title":"Eur J Oper Res"},{"key":"4319_CR25","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1016\/j.renene.2012.07.041","volume":"50","author":"Y Jiang","year":"2013","unstructured":"Jiang Y, Song Z, Kusiak A (2013) Very short-term wind speed forecasting with Bayesian structural break model. Renew Energy 50:637\u2013647","journal-title":"Renew Energy"},{"key":"4319_CR26","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.enconman.2014.12.037","volume":"92","author":"M Kefayat","year":"2015","unstructured":"Kefayat M, Lashkar Ara A, Nabavi Niaki SA (2015) A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources. Energy Convers Manag 92:149\u2013161","journal-title":"Energy Convers Manag"},{"issue":"3","key":"4319_CR27","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1016\/j.jglr.2016.02.014","volume":"42","author":"KP Kenow","year":"2016","unstructured":"Kenow KP et al (2016) Identifying the origin of waterbird carcasses in Lake Michigan using a neural network source tracking model. J Great Lakes Res 42(3):637\u2013648","journal-title":"J Great Lakes Res"},{"issue":"1","key":"4319_CR28","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.enconman.2011.08.004","volume":"53","author":"MS K\u0131ran","year":"2012","unstructured":"K\u0131ran MS et al (2012) A novel hybrid approach based on particle swarm optimization and ant colony algorithm to forecast energy demand of Turkey. Energy Convers Manag 53(1):75\u201383","journal-title":"Energy Convers Manag"},{"issue":"2","key":"4319_CR29","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1080\/07350015.2014.948175","volume":"33","author":"M Kn\u00fcppel","year":"2015","unstructured":"Kn\u00fcppel M (2015) Evaluating the calibration of multi-step-ahead density forecasts using raw moments. J Bus Econ Stat 33(2):270\u2013281","journal-title":"J Bus Econ Stat"},{"key":"4319_CR30","doi-asserted-by":"crossref","unstructured":"Kosek AM (2016) Contextual anomaly detection for cyber-physical security in Smart Grids based on an artificial neural network model. 2016 Joint Workshop on Cyber-physical Security and Resilience in Smart Grids. IEEE","DOI":"10.1109\/CPSRSG.2016.7684103"},{"issue":"20","key":"4319_CR31","doi-asserted-by":"crossref","first-page":"7245","DOI":"10.1016\/j.eswa.2015.04.058","volume":"42","author":"W Kristjanpoller","year":"2015","unstructured":"Kristjanpoller W, Minutolo MC (2015) Gold price volatility: a forecasting approach using the artificial neural network\u2013GARCH model. Expert Syst Appl 42(20):7245\u20137251","journal-title":"Expert Syst Appl"},{"issue":"4","key":"4319_CR32","doi-asserted-by":"crossref","first-page":"996","DOI":"10.1016\/j.ijforecast.2014.03.016","volume":"30","author":"J Li","year":"2014","unstructured":"Li J, Chen W (2014) Forecasting macroeconomic time series: LASSO-based approaches and their forecast combinations with dynamic factor models. Int J Forecast 30(4):996\u20131015","journal-title":"Int J Forecast"},{"issue":"1","key":"4319_CR33","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1111\/1475-679X.12068","volume":"53","author":"Y Li","year":"2015","unstructured":"Li Y, Zhang L (2015) Short selling pressure, stock price behavior, and management forecast precision: evidence from a natural experiment. J Account Res 53(1):79\u2013117","journal-title":"J Account Res"},{"key":"4319_CR34","first-page":"6","volume":"2016","author":"Z Li","year":"2016","unstructured":"Li Z et al (2016) A computational method for optimizing experimental environments for Phellinus igniarius via genetic algorithm and BP neural network. Biomed Res Int 2016:6","journal-title":"Biomed Res Int"},{"issue":"3","key":"4319_CR35","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1016\/j.ejor.2013.10.024","volume":"234","author":"T Liao","year":"2014","unstructured":"Liao T et al (2014) A unified ant colony optimization algorithm for continuous optimization. Eur J Oper Res 234(3):597\u2013609","journal-title":"Eur J Oper Res"},{"issue":"12","key":"4319_CR36","doi-asserted-by":"crossref","first-page":"123509","DOI":"10.1103\/PhysRevD.87.123509","volume":"87","author":"L Linsefors","year":"2013","unstructured":"Linsefors L, Barrau A (2013) Duration of inflation and conditions at the bounce as a prediction of effective isotropic loop quantum cosmology. Physical Review D 87(12):123509","journal-title":"Physical Review D"},{"issue":"3","key":"4319_CR37","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1111\/rode.12093","volume":"18","author":"NE Magud","year":"2014","unstructured":"Magud NE, Reinhart CM, Vesperoni ER (2014) Capital inflows, exchange rate flexibility and credit booms. Rev Dev Econ 18(3):415\u2013430","journal-title":"Rev Dev Econ"},{"issue":"5","key":"4319_CR38","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1002\/for.2306","volume":"33","author":"M Marcellino","year":"2014","unstructured":"Marcellino M, Rychalovska Y (2014) Forecasting with a DSGE model of a small open economy within the monetary union. J Forecast 33(5):315\u2013338","journal-title":"J Forecast"},{"key":"4319_CR39","doi-asserted-by":"crossref","unstructured":"Mitra SK, Chattopadhyay M (2016) The nexus between food price inflation and monsoon rainfall in India: exploring through comparative data mining models. Climate and Development 1\u20139","DOI":"10.1080\/17565529.2016.1174662"},{"issue":"1","key":"4319_CR40","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.engappai.2012.03.011","volume":"26","author":"RFT Neto","year":"2013","unstructured":"Neto RFT, Filho MG (2013) Literature review regarding ant Colony optimization applied to scheduling problems: guidelines for implementation and directions for future research. Eng Appl Artif Intell 26(1):150\u2013161","journal-title":"Eng Appl Artif Intell"},{"key":"4319_CR41","first-page":"100","volume":"900","author":"AA Orlov","year":"2013","unstructured":"Orlov AA (2013) Non-stationary time series forecasting on basis of analysis and prediction of forecasting models efficiency. Brain 900:100","journal-title":"Brain"},{"key":"4319_CR42","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1108\/S1477-4070(2013)0000009013","volume":"9","author":"Y Pan","year":"2013","unstructured":"Pan Y, Pohlen T, Manago S (2013) Hybrid neural network model in forecasting aggregate US retail sales. Advances in Business and Management Forecasting 9:153\u2013170","journal-title":"Advances in Business and Management Forecasting"},{"issue":"7","key":"4319_CR43","doi-asserted-by":"crossref","first-page":"1312","DOI":"10.1002\/jae.2502","volume":"31","author":"D Pettenuzzo","year":"2016","unstructured":"Pettenuzzo D, Ravazzolo F (2016) Optimal portfolio choice under decision-based model combinations. J Appl Econ 31(7):1312\u20131332","journal-title":"J Appl Econ"},{"issue":"3","key":"4319_CR44","doi-asserted-by":"crossref","first-page":"031301","DOI":"10.1103\/PhysRevLett.114.031301","volume":"114","author":"LC Price","year":"2015","unstructured":"Price LC (2015) Et al. \u201cgravitational wave consistency relations for multifield inflation.\u201d. Phys Rev Lett 114(3):031301","journal-title":"Phys Rev Lett"},{"key":"4319_CR45","doi-asserted-by":"crossref","unstructured":"Riahi V, Kazemi M (2016) A new hybrid ant colony algorithm for scheduling of no-wait flowshop. Oper Res 1\u201320","DOI":"10.1007\/s12351-016-0253-x"},{"issue":"4","key":"4319_CR46","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1257\/jel.51.4.1063","volume":"51","author":"B Rossi","year":"2013","unstructured":"Rossi B (2013) Exchange rate predictability. J Econ Lit 51(4):1063\u20131119","journal-title":"J Econ Lit"},{"issue":"2","key":"4319_CR47","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1007\/s00366-015-0415-0","volume":"32","author":"A Saghatforoush","year":"2016","unstructured":"Saghatforoush A et al (2016) Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting. Eng Comput 32(2):255\u2013266","journal-title":"Eng Comput"},{"key":"4319_CR48","unstructured":"Stock JH, Watson MW (2015) Factor models and structural vector autoregressions in macroeconomics. In: Taylor JB, Uhlig H (eds) Forthcoming Handbook of Macroeconomics"},{"issue":"5","key":"4319_CR49","doi-asserted-by":"crossref","first-page":"223","DOI":"10.13189\/ujm.2016.040501","volume":"4","author":"K-Y Wang","year":"2016","unstructured":"Wang K-Y, Shun H-Y (2016) Applying back propagation neural networks in the prediction of management associate work retention for small and medium enterprises. Universal Journal of Management 4(5):223\u2013227","journal-title":"Universal Journal of Management"},{"key":"4319_CR50","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.atmosres.2013.10.014","volume":"137","author":"J Wang","year":"2014","unstructured":"Wang J et al (2014a) Lightning potential forecast over Nanjing with denoised sounding-derived indices based on SSA and CS-BP neural network. Atmos Res 137:245\u2013256","journal-title":"Atmos Res"},{"issue":"1","key":"4319_CR51","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/S1005-8885(14)60267-3","volume":"21","author":"Y-l Wang","year":"2014","unstructured":"Wang Y-l et al (2014b) Improved ant colony-based multi-constrained QoS energy-saving routing and throughput optimization in wireless ad-hoc networks. The Journal of China Universities of Posts and Telecommunications 21(1):43\u201359","journal-title":"The Journal of China Universities of Posts and Telecommunications"},{"key":"4319_CR52","doi-asserted-by":"crossref","unstructured":"Wang J et al (2015) Multiple kernel multivariate performance learning using cutting plane algorithm. 2015 I.E. International Conference on Systems, Man, and Cybernetics (SMC). IEEE.","DOI":"10.1109\/SMC.2015.327"},{"issue":"2","key":"4319_CR53","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1109\/TNNLS.2015.2411671","volume":"27","author":"T Wang","year":"2016","unstructured":"Wang T, Gao H, Qiu J (2016) A combined adaptive neural network and nonlinear model predictive control for multirate networked industrial process control. IEEE Transactions on Neural Networks and Learning Systems 27(2):416\u2013425","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"4319_CR54","doi-asserted-by":"crossref","unstructured":"Yan S, Xiao Z (2013) Application of BP Neural Network with Chebyshev Mapping in Image Compression. 2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC). IEEE","DOI":"10.1109\/IMCCC.2013.91"},{"issue":"4","key":"4319_CR55","doi-asserted-by":"crossref","first-page":"1997","DOI":"10.1109\/TPWRS.2014.2352263","volume":"30","author":"S Yang","year":"2015","unstructured":"Yang S et al (2015) Load modeling and identification based on ant colony algorithms for ev charging stations. IEEE Trans Power Syst 30(4):1997\u20132003","journal-title":"IEEE Trans Power Syst"},{"issue":"1","key":"4319_CR56","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1063\/1.4907458","volume":"1643","author":"SR Yaziz","year":"2015","unstructured":"Yaziz SR et al (2015) Preliminary analysis on hybrid Box-Jenkins\u2013GARCH modeling in forecasting gold price. AIP Conf Proc 1643(1):289","journal-title":"AIP Conf Proc"},{"key":"4319_CR57","doi-asserted-by":"crossref","unstructured":"Ye Nan et al (2015) Learning fuzzy cognitive maps using decomposed parallel ant colony algorithm and gradient descent. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE","DOI":"10.1109\/FSKD.2015.7381919"},{"key":"4319_CR58","doi-asserted-by":"crossref","unstructured":"Zeng D et al (2012) An improved ant colony optimization algorithm based on dynamically adjusting ant number. 2012 I.E. International Conference on Robotics and Biomimetics (ROBIO). IEEE","DOI":"10.1109\/ROBIO.2012.6491268"},{"key":"4319_CR59","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.jqsrt.2013.08.020","volume":"133","author":"B Zhang","year":"2014","unstructured":"Zhang B et al (2014) Inverse transient radiation analysis in one-dimensional participating slab using improved ant Colony optimization algorithms. J Quant Spectrosc Radiat Transf 133:351\u2013363","journal-title":"J Quant Spectrosc Radiat Transf"},{"key":"4319_CR60","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.jmsy.2014.10.005","volume":"34","author":"Y Zhang","year":"2015","unstructured":"Zhang Y, Gao X, Katayama S (2015) Weld appearance prediction with BP neural network improved by genetic algorithm during disk laser welding. J Manuf Syst 34:53\u201359","journal-title":"J Manuf Syst"},{"issue":"3","key":"4319_CR61","doi-asserted-by":"crossref","first-page":"1650013","DOI":"10.1142\/S1469026816500139","volume":"15","author":"S Zhang","year":"2016","unstructured":"Zhang S et al (2016a) BP neural network with genetic algorithm optimization for prediction of geo-stress State from wellbore pressures. Int J Comput Intell Appl 15(3):1650013","journal-title":"Int J Comput Intell Appl"},{"key":"4319_CR62","doi-asserted-by":"crossref","unstructured":"Zhang L-P, Liu H-M, Lu C (2016b) Fault diagnosis technology of rolling bearing based on LMD and BP neural network. 2016 12th World Congress on Intelligent Control and Automation (WCICA). IEEE","DOI":"10.1109\/WCICA.2016.7578766"},{"key":"4319_CR63","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.neucom.2012.12.080","volume":"134","author":"L Zhuo","year":"2014","unstructured":"Zhuo L et al (2014) An SA\u2013GA\u2013BP neural network-based color correction algorithm for TCM tongue images. Neurocomputing 134:111\u2013116","journal-title":"Neurocomputing"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-016-4319-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-016-4319-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-016-4319-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,18]],"date-time":"2019-09-18T02:41:11Z","timestamp":1568774471000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-016-4319-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1,30]]},"references-count":63,"journal-issue":{"issue":"18","published-print":{"date-parts":[[2017,9]]}},"alternative-id":["4319"],"URL":"https:\/\/doi.org\/10.1007\/s11042-016-4319-9","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1,30]]}}}