{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,1,28]],"date-time":"2023-01-28T08:29:21Z","timestamp":1674894561393},"reference-count":39,"publisher":"Elsevier BV","issue":"8","license":[{"start":{"date-parts":[[2003,10,1]],"date-time":"2003-10-01T00:00:00Z","timestamp":1064966400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Networks"],"published-print":{"date-parts":[[2003,10]]},"DOI":"10.1016\/s0893-6080(03)00057-1","type":"journal-article","created":{"date-parts":[[2003,4,23]],"date-time":"2003-04-23T22:32:29Z","timestamp":1051137149000},"page":"1201-1221","source":"Crossref","is-referenced-by-count":6,"title":["Neural independent component analysis by \u2018maximum-mismatch\u2019 learning principle"],"prefix":"10.1016","volume":"16","author":[{"given":"Simone","family":"Fiori","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/S0893-6080(03)00057-1_BIB1","series-title":"Handbook of mathematical functions with formulas, graphs and mathematical tables","first-page":"374","year":"1972"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB2","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1007\/BF00365229","article-title":"Neural theory of association and concept-formation","volume":"26","author":"Amari","year":"1977","journal-title":"Biological Cybernetics"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB3","doi-asserted-by":"crossref","first-page":"1875","DOI":"10.1162\/089976699300015990","article-title":"Natural gradient learning for over- and under-complete bases in ICA","volume":"11","author":"Amari","year":"1999","journal-title":"Neural Computation"},{"issue":"8","key":"10.1016\/S0893-6080(03)00057-1_BIB4","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1016\/S0893-6080(97)00039-7","article-title":"Stability analysis of learning algorithms for blind source separation","volume":"10","author":"Amari","year":"1997","journal-title":"Neural Networks"},{"issue":"1","key":"10.1016\/S0893-6080(03)00057-1_BIB5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0129-0657(00)00002-8","article-title":"A fast fixed-point algorithm for independent component analysis of complex valued signals","volume":"10","author":"Bingham","year":"2000","journal-title":"International Journal of Neural Systems"},{"issue":"1","key":"10.1016\/S0893-6080(03)00057-1_BIB7","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1162\/089976699300016863","article-title":"High-order contrasts for independent component analysis","volume":"11","author":"Cardoso","year":"1999","journal-title":"Neural Computation"},{"issue":"12","key":"10.1016\/S0893-6080(03)00057-1_BIB6","doi-asserted-by":"crossref","first-page":"3017","DOI":"10.1109\/78.553476","article-title":"Equivariant adaptive source separation","volume":"44","author":"Cardoso","year":"1996","journal-title":"IEEE Transactions on Signal Processing"},{"issue":"17","key":"10.1016\/S0893-6080(03)00057-1_BIB8","doi-asserted-by":"crossref","first-page":"1386","DOI":"10.1049\/el:19940956","article-title":"Robust learning algorithm for blind separation of signals","volume":"30","author":"Cichocki","year":"1994","journal-title":"Electronics Letters"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB9","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/0165-1684(94)90029-9","article-title":"Independent component analysis, a new concept?","volume":"36","author":"Comon","year":"1994","journal-title":"Signal Processing"},{"issue":"1\u20134","key":"10.1016\/S0893-6080(03)00057-1_BIB10","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/S0925-2312(00)00161-2","article-title":"Blind separation of circularly distributed source signals by the neural extended APEX algorithm","volume":"34","author":"Fiori","year":"2000","journal-title":"Neurocomputing"},{"issue":"6","key":"10.1016\/S0893-6080(03)00057-1_BIB11","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1016\/S0893-6080(00)00044-7","article-title":"Blind signal processing by the adaptive activation function neurons","volume":"13","author":"Fiori","year":"2000","journal-title":"Neural Networks"},{"issue":"7","key":"10.1016\/S0893-6080(03)00057-1_BIB13","doi-asserted-by":"crossref","first-page":"1625","DOI":"10.1162\/089976601750265036","article-title":"A theory for learning by weight flow on Stiefel-Grassman manifold","volume":"13","author":"Fiori","year":"2001","journal-title":"Neural Computation"},{"issue":"8","key":"10.1016\/S0893-6080(03)00057-1_BIB14","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1109\/97.935735","article-title":"On blind separation of complex-valued sources by extended Hebbian learning","volume":"8","author":"Fiori","year":"2001","journal-title":"IEEE Signal Processing Letters"},{"issue":"10","key":"10.1016\/S0893-6080(03)00057-1_BIB15","doi-asserted-by":"crossref","first-page":"2131","DOI":"10.1016\/S0165-1684(01)00108-6","article-title":"A contribution to (neuromorphic) blind deconvolution by flexible approximated Bayesian estimation","volume":"81","author":"Fiori","year":"2001","journal-title":"Signal Processing"},{"issue":"1","key":"10.1016\/S0893-6080(03)00057-1_BIB16","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/S0893-6080(01)00105-8","article-title":"Hybrid independent component analysis by adaptive LUT activation function neurons","volume":"15","author":"Fiori","year":"2002","journal-title":"Neural Networks"},{"issue":"3","key":"10.1016\/S0893-6080(03)00057-1_BIB17","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1109\/TNN.2002.1000121","article-title":"A theory for learning based on rigid bodies dynamics","volume":"13","author":"Fiori","year":"2002","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"3","key":"10.1016\/S0893-6080(03)00057-1_BIB18","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1023\/A:1015737618723","article-title":"Complex-weighted one-unit \u2018rigid-bodies\u2019 learning rule for independent component analysis","volume":"15","author":"Fiori","year":"2002","journal-title":"Neural Processing Letters"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB19","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1016\/S0925-2312(01)00672-5","article-title":"Blind deconvolution by simple adaptive activation function neuron","volume":"48","author":"Fiori","year":"2002","journal-title":"Neurocomputing"},{"issue":"3-4","key":"10.1016\/S0893-6080(03)00057-1_BIB20","doi-asserted-by":"crossref","DOI":"10.1016\/S0893-6080(03)00016-9","article-title":"Overview of independent component analysis technique with an application to synthetic aperture radar (SAR) imagery processing","volume":"16","author":"Fiori","year":"2003","journal-title":"Neural Networks"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB21","doi-asserted-by":"crossref","DOI":"10.1109\/TMAG.2003.810384","article-title":"Numerical modeling for the localization and the assessment of electromagnetic field sources","author":"Fiori","year":"2003","journal-title":"IEEE Transactions on Magnetics"},{"issue":"9","key":"10.1016\/S0893-6080(03)00057-1_BIB12","doi-asserted-by":"crossref","first-page":"1394","DOI":"10.1109\/81.883336","article-title":"A general class of \u03c8-APEX PCA neural algorithms","volume":"47","author":"Fiori","year":"2000","journal-title":"IEEE Transactions on Circuits and Systems\u2014Part I"},{"issue":"2","key":"10.1016\/S0893-6080(03)00057-1_BIB22","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0893-6080(96)00058-5","article-title":"A comparative study of two neural methods of exploratory projection pursuit","volume":"10","author":"Fyfe","year":"1997","journal-title":"Neural Networks"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB23","first-page":"143","article-title":"Maximum-likelihood Hebbian learning","author":"Fyfe","year":"2002","journal-title":"Proceedings of the Tenth European Symposium on Artificial Neural Networks (ESANN\u201902), Bruges (Belgium)"},{"issue":"1\u20134","key":"10.1016\/S0893-6080(03)00057-1_BIB24","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/S0925-2312(01)00579-3","article-title":"Epsilon-insensitive Hebbian learning","volume":"47","author":"Fyfe","year":"2002","journal-title":"Neurocomputing"},{"issue":"2","key":"10.1016\/S0893-6080(03)00057-1_BIB27","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1142\/S0129065799000101","article-title":"An experimental comparison of neural algorithms for independent component analysis and blind separation","volume":"9","author":"Giannakopoulos","year":"1999","journal-title":"International Journal of Neural Systems"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB26","series-title":"Independent component analysis","author":"Hyv\u00e4rinen","year":"2001"},{"issue":"3","key":"10.1016\/S0893-6080(03)00057-1_BIB25","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/S0165-1684(97)00197-7","article-title":"Independent component analysis by general non-linear Hebbian-like rules","volume":"64","author":"Hyv\u00e4rinen","year":"1998","journal-title":"Signal Processing"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB28","first-page":"643","article-title":"Independent component analysis (INCA) versus principal component analysis","volume":"2","author":"Jutten","year":"1988","journal-title":"Proceedings of the European Signal Processing Conference (EUSIPCO)"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0165-1684(91)90079-X","article-title":"Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture","volume":"24","author":"Jutten","year":"1991","journal-title":"Signal Processing"},{"issue":"1","key":"10.1016\/S0893-6080(03)00057-1_BIB30","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/0893-6080(94)90060-4","article-title":"Representation and separation of signals using nonlinear PCA type learning","volume":"7","author":"Karhunen","year":"1994","journal-title":"Neural Networks"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB31","first-page":"815","article-title":"Learning non-linear overcomplete representations for efficient coding","author":"Lewicki","year":"1998","journal-title":"Advances in Neural Information Processing Systems (NIPS*10)"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB32","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/BF00275687","article-title":"A simplified neuron model as a principal component analyzer","volume":"15","author":"Oja","year":"1982","journal-title":"Journal of Mathematics and Biology"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB33","first-page":"1049","article-title":"Beyond PCA: Statistical expansions by non-linear neural networks","volume":"2","author":"Oja","year":"1994","journal-title":"Proceedings of the International Conference on Artificial Neural Networks (ICANN)"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB34","first-page":"143","article-title":"Nonlinear PCA criterion and maximum likelihood in independent component analysis","author":"Oja","year":"1998","journal-title":"Proceedings of the Conference on Independent Component Analysis and Source Separation (ICA\u201998)"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB35","first-page":"385","article-title":"Learning in non-linear constrained Hebbian networks","author":"Oja","year":"1991","journal-title":"Proceedings of the ICANN\u201991"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB36","first-page":"565","article-title":"Neural network based processing for smart sensor arrays","author":"Paraschiv-Ionescu","year":"1997","journal-title":"Proceedings of the International Conference on Artificial Neural Networks (ICANN)"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB37","series-title":"Statistical inference","author":"Rohatgi","year":"1984"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB38","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/0893-6080(89)90044-0","article-title":"Optimal unsupervised learning in a single-layer linear feedforward neural network","volume":"2","author":"Sanger","year":"1989","journal-title":"Neural Networks"},{"key":"10.1016\/S0893-6080(03)00057-1_BIB39","first-page":"1247","article-title":"Non-linear Hebbian rule: A statistical interpretation","volume":"2","author":"Sudjianto","year":"1994","journal-title":"Proceedings of the IEEE-ICNN"}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608003000571?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608003000571?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,3,22]],"date-time":"2019-03-22T02:25:20Z","timestamp":1553221520000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0893608003000571"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,10]]},"references-count":39,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2003,10]]}},"alternative-id":["S0893608003000571"],"URL":"https:\/\/doi.org\/10.1016\/s0893-6080(03)00057-1","relation":{},"ISSN":["0893-6080"],"issn-type":[{"value":"0893-6080","type":"print"}],"subject":[],"published":{"date-parts":[[2003,10]]}}}