{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T18:15:35Z","timestamp":1725560135703},"publisher-location":"Berlin, Heidelberg","reference-count":6,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540283256"},{"type":"electronic","value":"9783540318583"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11539117_49","type":"book-chapter","created":{"date-parts":[[2010,7,20]],"date-time":"2010-07-20T22:10:45Z","timestamp":1279663845000},"page":"332-337","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive Identification of Chaotic Systems and Its Applications in Chaotic Communications"],"prefix":"10.1007","author":[{"given":"Jiuchao","family":"Feng","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"49_CR1","doi-asserted-by":"crossref","unstructured":"Principe, J., Kuo, C., Noise, J.M.: reduction in state space using the focused Gamma neural network. In: Proc. SPIE, vol.\u00a02038, pp. 326\u2013332 (1993)","DOI":"10.1117\/12.162686"},{"key":"49_CR2","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1162\/neco.1991.3.2.246","volume":"3","author":"J. Park","year":"1991","unstructured":"Park, J., Sandberg, I.W.: Universal approximation using radial basis function networks. Neural Comp.\u00a03, 246\u2013257 (1991)","journal-title":"Neural Comp."},{"key":"49_CR3","volume-title":"Neural Networks: A Comprehensive Foundation","author":"S. Haykin","year":"1994","unstructured":"Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice-Hall, New York (1994)"},{"key":"49_CR4","volume-title":"Dynamical Systems and Turbulence","author":"F. Takens","year":"1981","unstructured":"Takens, F.: Detecting strange attractors in turbulence. In: Rand, D., Young, I. (eds.) Dynamical Systems and Turbulence. Springer, Berlin (1981)"},{"key":"49_CR5","volume-title":"The Model-based Approach","author":"J. Candy","year":"1986","unstructured":"Candy, J., Signal Processing, V.: The Model-based Approach. McGraw-Hall, New York (1986)"},{"key":"49_CR6","doi-asserted-by":"publisher","first-page":"954","DOI":"10.1162\/neco.1993.5.6.954","volume":"5","author":"V. Kadirkamanathan","year":"1993","unstructured":"Kadirkamanathan, V., Niranjan, M.: A function estimation approach to sequential learning with neural network. Neural Comp.\u00a05, 954\u2013975 (1993)","journal-title":"Neural Comp."}],"container-title":["Lecture Notes in Computer Science","Advances in Natural Computation"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11539117_49.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T20:15:52Z","timestamp":1605644152000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11539117_49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540283256","9783540318583"],"references-count":6,"URL":"https:\/\/doi.org\/10.1007\/11539117_49","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}