{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,24]],"date-time":"2025-02-24T09:10:01Z","timestamp":1740388201988,"version":"3.37.3"},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540283232"},{"type":"electronic","value":"9783540318538"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11539087_11","type":"book-chapter","created":{"date-parts":[[2010,7,20]],"date-time":"2010-07-20T22:26:10Z","timestamp":1279664770000},"page":"91-100","source":"Crossref","is-referenced-by-count":0,"title":["An Evolved Recurrent Neural Network and Its Application"],"prefix":"10.1007","author":[{"given":"Chunkai","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Hong","family":"Hu","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"19","key":"11_CR1","doi-asserted-by":"publisher","first-page":"2229","DOI":"10.1103\/PhysRevLett.59.2229","volume":"59","author":"F.J. Pineda","year":"1987","unstructured":"Pineda, F.J.: Generalization of backpropagation to recurrent neural networks. Physical Review Letters\u00a059(19), 2229\u20132232 (1987)","journal-title":"Physical Review Letters"},{"key":"11_CR2","first-page":"318","volume":"1","author":"D.E. Rumelhart","year":"1986","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning internal representations by error propagation. Parallel Distributed Processing\u00a01, 318\u2013362 (1986)","journal-title":"Parallel Distributed Processing"},{"issue":"2","key":"11_CR3","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1162\/neco.1989.1.2.270","volume":"1","author":"R.J. Williams","year":"1989","unstructured":"Williams, R.J., Zipser, D.: A learning algorithm for continually running recurrent neural networks. Neural Comput.\u00a01(2), 270\u2013280 (1989)","journal-title":"Neural Comput."},{"key":"11_CR4","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1162\/neco.1989.1.2.263","volume":"1","author":"B.A. Pearlmutter","year":"1989","unstructured":"Pearlmutter, B.A.: Learning state space trajectories in recurrent neural networks. Neural Comput.\u00a01, 263\u2013269 (1989)","journal-title":"Neural Comput."},{"doi-asserted-by":"crossref","unstructured":"Lei, J., He, G., Jiang, J.P.: The State Estimation of the CSTR System Based on a Recurrent Neural Network Trained by HGAs. In: International Conference on Neural Networks, vol. 2, pp. 779\u2013782 (1997)","key":"11_CR5","DOI":"10.1109\/ICNN.1997.616121"},{"doi-asserted-by":"crossref","unstructured":"Heimes, F., Zalesski, G., Oshima, M.: Traditional and evolved dynamic neural networks for aircraft simulation. In: Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, Part 3 (of 5), pp. 1995\u20132000 (1997)","key":"11_CR6","DOI":"10.1109\/ICSMC.1997.635144"},{"key":"11_CR7","first-page":"191","volume-title":"Genetic Algorithms Engineering and Computer Science","author":"D. Whitley","year":"1995","unstructured":"Whitley, D.: Genetic algorithms and neural networks. In: Winter, G., Periaux, J., Galan, M., Cuesta, P. (eds.) Genetic Algorithms Engineering and Computer Science, pp. 191\u2013201. Wiley, New York (1995)"},{"unstructured":"Jaszkiewicz: Comparison of local search-based metaheuristics on the multiple-objective knapsack problem. Found. Comput. Decision Sci. 26, 99\u2013120 (2001)","key":"11_CR8"},{"issue":"2","key":"11_CR9","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1109\/TSMCB.2003.818557","volume":"34","author":"C.-F. Juang","year":"2004","unstructured":"Juang, C.-F.: A hybrid of genetic algorithm and particle swarm optimization for recurrent network design. IEEE Transactions on Systems, Man, and Cubernetics - Part B: Cybernetics\u00a034(2), 997\u20131006 (2004)","journal-title":"IEEE Transactions on Systems, Man, and Cubernetics - Part B: Cybernetics"},{"unstructured":"Cai, X., Zhang, N., Venayagamoorthy, G., Wunsch, D.: Time Series Prediction with Recurrent Neural Networks Using a Hybrid PSO-EA Algorithm. In: IJCNN 2004, Budapest (2004)","key":"11_CR10"},{"issue":"1","key":"11_CR11","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1142\/S0129065794000074","volume":"5","author":"N. Burgess","year":"1994","unstructured":"Burgess, N.: A constructive algorithm that converges for real-valued input patterns. Int. J. Neural Syst.\u00a05(1), 59\u201366 (1994)","journal-title":"Int. J. Neural Syst."},{"key":"11_CR12","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1109\/72.248452","volume":"4","author":"R. Reed","year":"1995","unstructured":"Reed, R.: Pruning algorithms-A survey. IEEE trans. Neural Networks\u00a04, 740\u2013747 (1995)","journal-title":"IEEE trans. Neural Networks"},{"key":"11_CR13","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1109\/72.265960","volume":"5","author":"P.J. Angeline","year":"1994","unstructured":"Angeline, P.J., Sauders, G.M., Pollack, J.B.: An evolutionary algorithm that constructs recurrent neural networks. IEEE Trans. Neural Networks\u00a05, 54\u201365 (1994)","journal-title":"IEEE Trans. Neural Networks"},{"issue":"4","key":"11_CR14","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1002\/int.4550080406","volume":"8","author":"X. Yao","year":"1993","unstructured":"Yao, X.: A review of evolutionary artificial neural networks. Int. J. Intell. Syst.\u00a08(4), 539\u2013567 (1993)","journal-title":"Int. J. Intell. Syst."},{"key":"11_CR15","first-page":"39","volume-title":"Proc. IEEE International Conference on Neural Networks","author":"J. Kennedy","year":"1995","unstructured":"Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: Proc. IEEE International Conference on Neural Networks, pp. 39\u201343. IEEE Service Center, Piscataway (1995)"}],"container-title":["Lecture Notes in Computer Science","Advances in Natural Computation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11539087_11.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T05:09:11Z","timestamp":1740287351000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11539087_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540283232","9783540318538"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/11539087_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}