{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,2,15]],"date-time":"2023-02-15T01:55:52Z","timestamp":1676426152865},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2008,7,10]],"date-time":"2008-07-10T00:00:00Z","timestamp":1215648000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2008,8]]},"DOI":"10.1007\/s11063-008-9080-2","type":"journal-article","created":{"date-parts":[[2008,7,9]],"date-time":"2008-07-09T10:31:35Z","timestamp":1215599495000},"page":"35-47","source":"Crossref","is-referenced-by-count":12,"title":["Stability and Chaos of a Class of Learning Algorithms for ICA Neural Networks"],"prefix":"10.1007","volume":"28","author":[{"given":"Jian Cheng","family":"Lv","sequence":"first","affiliation":[]},{"given":"Kok Kiong","family":"Tan","sequence":"additional","affiliation":[]},{"given":"Zhang","family":"Yi","sequence":"additional","affiliation":[]},{"given":"Sunan","family":"Huang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2008,7,10]]},"reference":[{"key":"9080_CR1","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/0165-1684(94)90029-9","volume":"36","author":"P Comon","year":"1994","unstructured":"Comon P (1994) Independent component analysis - a new concept. Signal Process 36: 287\u2013314","journal-title":"Signal Process"},{"key":"9080_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0165-1684(91)90079-X","volume":"24","author":"C Jutten","year":"1991","unstructured":"Jutten C, Herault J (1991) Blind separation of sources part I an adaptive algorithm based on neuromimetic architecture. Signal Process 24: 1\u201310","journal-title":"Signal Process"},{"key":"9080_CR3","doi-asserted-by":"crossref","unstructured":"Bell A, Sejnowski TJ (1997) Edges are the independent components of natural scenes. In: Advances in neural information processing 9 (NIPS 96). MIT Press, pp 831\u2013837","DOI":"10.1016\/S0042-6989(97)00121-1"},{"key":"9080_CR4","doi-asserted-by":"crossref","unstructured":"Karhunen J, Hyv\u00e4rinen A, Vigario R, Hurri J, Oja E (1997) Applications of neural blind separation to signal and image processing. In: Proceedings of IEEE international conference on acoustics, speech and signal processing (ICASSP 97). Munich, Germany, pp 131\u2013134","DOI":"10.1109\/ICASSP.1997.599569"},{"key":"9080_CR5","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1007\/s11063-004-0634-7","volume":"22","author":"M Kotani","year":"2005","unstructured":"Kotani M, Ozawa S (2005) Feature extraction using independent components of each category. Neural Process Lett 22: 113\u2013124","journal-title":"Neural Process Lett"},{"key":"9080_CR6","doi-asserted-by":"crossref","unstructured":"Donoho D (1981) On minimum entropy deconvolution. In: Applied Time Series Analysis II. Academic Press, pp 565\u2013608","DOI":"10.1016\/B978-0-12-256420-8.50024-1"},{"key":"9080_CR7","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/A:1009616029367","volume":"12","author":"A Cichocki","year":"2000","unstructured":"Cichocki A, Thawonmas R (2000) On-line algorithms for blind signal extraction of arbitrarily distributed, but temporally correlated sources using second order statistics. Neural Process Lett 12: 91\u201398","journal-title":"Neural Process Lett"},{"issue":"6","key":"9080_CR8","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1142\/S0129065796000646","volume":"7","author":"A Hyv\u00e4rinen","year":"1997","unstructured":"Hyv\u00e4rinen A, Oja E (1997) Simple neuron models for independent component analysis. Int J Neural Syst 7(6): 671\u2013687","journal-title":"Int J Neural Syst"},{"issue":"3","key":"9080_CR9","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/S0165-1684(97)00197-7","volume":"64","author":"A Hyv\u00e4rinen","year":"1998","unstructured":"Hyv\u00e4rinen A, Oja E (1998) Independent component analysis by general non-linear hebbian-like learning Rues. Signal Process 64(3): 301\u2013313","journal-title":"Signal Process"},{"key":"9080_CR10","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1007\/s11063-005-5265-0","volume":"22","author":"A Ilin","year":"2005","unstructured":"Ilin A, Valpola H (2005) On the effect of the form of the posterior approximation in variational learning of ICA models. Neural Process Lett 22: 183\u2013204","journal-title":"Neural Process Lett"},{"issue":"3","key":"9080_CR11","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1109\/72.572090","volume":"8","author":"J Karhunen","year":"1997","unstructured":"Karhunen J, Oja E, Wang L, Vigario R, Joutsensalo J (1997) A class of neural networks for independent component analysis. IEEE Trans Neural Netw 8(3): 486\u2013504","journal-title":"IEEE Trans Neural Netw"},{"key":"9080_CR12","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1007\/s11063-005-0956-0","volume":"22","author":"J Karhunen","year":"2005","unstructured":"Karhunen J (2005) A resampling test for the total independence of stationary time series: application to the performance evaluation of ICA algorithms. Neural Process Lett 22: 311\u2013324","journal-title":"Neural Process Lett"},{"key":"9080_CR13","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1007\/s11063-006-9023-8","volume":"25","author":"MNH Mollah","year":"2007","unstructured":"Mollah MNH, Eguchi S, Minami M (2007) Robust prewhitening for ICA by minimizing \u03b2-divergence and its application to fastICA. Neural Process lett 25: 91\u2013110","journal-title":"Neural Process lett"},{"issue":"6","key":"9080_CR14","doi-asserted-by":"crossref","first-page":"1370","DOI":"10.1109\/TNN.2006.880980","volume":"17","author":"E Oja","year":"2006","unstructured":"Oja E, Yuan Z (2006) The fastICA algorithm revisited: convergence analysis. IEEE Trans Neural Netw 17(6): 1370\u20131381","journal-title":"IEEE Trans Neural Netw"},{"key":"9080_CR15","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.chaos.2005.04.009","volume":"27","author":"X Wang","year":"2006","unstructured":"Wang X, Tian L (2006) Bifurcation analysis and linear control of the Newton-Leipnik system. Chaos Solitons Fractals 27: 31\u201338","journal-title":"Chaos Solitons Fractals"},{"key":"9080_CR16","doi-asserted-by":"crossref","first-page":"1909","DOI":"10.1016\/S0960-0779(98)00210-0","volume":"10","author":"HN AGIZA","year":"1999","unstructured":"AGIZA HN (1999) On the analysis of stability, bifurcation, chaos and chaos control of Kopel Map. Chaos Solitons Fractals 10: 1909\u20131916","journal-title":"Chaos Solitons Fractals"},{"key":"9080_CR17","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.chaos.2005.05.002","volume":"28","author":"Z Cheng","year":"2006","unstructured":"Cheng Z, Lin Y, Cao J (2006) Dynamical behaviors of a partial-dependent predator\u2013prey system. Chaos Solitons Fractals 28: 67\u201375","journal-title":"Chaos Solitons Fractals"},{"key":"9080_CR18","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/j.chaos.2005.03.040","volume":"27","author":"Z Jing","year":"2006","unstructured":"Jing Z, Yang J (2006) Bifurcation and chaos in discrete-time predator\u2013prey system. Chaos Solitons Fractals 27: 259\u2013277","journal-title":"Chaos Solitons Fractals"},{"key":"9080_CR19","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1016\/j.chaos.2004.02.035","volume":"22","author":"C Li","year":"2004","unstructured":"Li C, Chen G (2004) Chaos in the fractional order Chen system and its control. Chaos Solitons Fractals 22: 549\u2013554","journal-title":"Chaos Solitons Fractals"},{"key":"9080_CR20","doi-asserted-by":"crossref","first-page":"1440","DOI":"10.1016\/j.chaos.2005.11.076","volume":"32","author":"JC Lv","year":"2007","unstructured":"Lv JC, Yi Z (2007) Stability and chaos of LMSER PCA learning algorithm. Chaos Solitons Fractals 32: 1440\u20131447","journal-title":"Chaos Solitons Fractals"},{"issue":"6","key":"9080_CR21","doi-asserted-by":"crossref","first-page":"1557","DOI":"10.1109\/TNN.2007.895824","volume":"18","author":"JC Lv","year":"2007","unstructured":"Lv JC, Yi Z, Tan KK (2007) Global convergence of GHA learning algorithm with nonzero-approaching learning rates. IEEE Trans Neural Netw 18(6): 1557\u20131571","journal-title":"IEEE Trans Neural Netw"},{"key":"9080_CR22","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1016\/j.tcs.2006.07.012","volume":"367","author":"JC Lv","year":"2006","unstructured":"Lv JC, Yi Z, Tan KK (2006) Global convergence of Oja\u2019s PCA learning algorithm with a non-zero-approaching adaptive learning rate. Theor Comput Sci 367: 286\u2013307","journal-title":"Theor Comput Sci"},{"key":"9080_CR23","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1016\/j.neucom.2006.01.003","volume":"70","author":"JC Lv","year":"2006","unstructured":"Lv JC, Yi Z, Tan KK (2006) Convergence analysis of Xu\u2019s LMSER learning algorithm via deterministic discrete time system method. Neurocomputing 70: 362\u2013372","journal-title":"Neurocomputing"},{"key":"9080_CR24","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/0893-6080(92)90006-5","volume":"5","author":"L Xu","year":"1992","unstructured":"Xu L, Oja E, Suen CY (1992) Modified hebbian learning for curve and surface fitting. Neural Netw 5: 441\u2013457","journal-title":"Neural Netw"},{"issue":"6","key":"9080_CR25","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.1109\/TNN.2005.852236","volume":"16","author":"Z Yi","year":"2005","unstructured":"Yi Z, Ye M, Lv JC, Tan KK (2005) Convergence analysis of a deterministic discrete time system of Oja\u2019s PCA learning algorithm. IEEE Trans Neural Netw 16(6): 1318\u20131328","journal-title":"IEEE Trans Neural Netw"},{"issue":"6","key":"9080_CR26","doi-asserted-by":"crossref","first-page":"1342","DOI":"10.1109\/TNN.2002.805752","volume":"13","author":"PJ Zufiria","year":"2002","unstructured":"Zufiria PJ (2002) On the discrete-time dynamic of the basic Hebbian neural-network nodes. IEEE Trans Neural Netw 13(6): 1342\u20131352","journal-title":"IEEE Trans Neural Netw"},{"key":"9080_CR27","doi-asserted-by":"crossref","unstructured":"Yi Z, Tan KK (2004) Convergence analysis of recurrent neural networks. Kluwer Academic Publishers","DOI":"10.1007\/978-1-4757-3819-3"},{"key":"9080_CR28","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/S0925-2312(00)00187-9","volume":"32","author":"G Dror","year":"2000","unstructured":"Dror G, Tsodyks M (2000) Chaos in neural networks with dynamical synapses. Neurocomputing 32: 365\u2013370","journal-title":"Neurocomputing"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-008-9080-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11063-008-9080-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-008-9080-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T04:22:57Z","timestamp":1559362977000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11063-008-9080-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,7,10]]},"references-count":28,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2008,8]]}},"alternative-id":["9080"],"URL":"https:\/\/doi.org\/10.1007\/s11063-008-9080-2","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,7,10]]}}}
