Descripción del título
High Dimensional Neurocompu...
The book presents a coherent understanding of computational intelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central issue of high-dimensional neurocomputing, such as quantitative representation of signals, extending the dimensionality of neuron, supervised and unsupervised learning and design of higher order neurons. The strong point of the book is its clarity and ability of the underlying theory to unify our understanding of high-dimensional computing where conventional methods fail. The plenty of application oriented problems are presented for evaluating, monitoring and maintaining the stability of adaptive learning machine. Author has taken care to cover the breadth and depth of the subject, both in the qualitative as well as quantitative way. The book is intended to enlighten the scientific community, ranging from advanced undergraduates to engineers, scientists and seasoned researchers in computational intelligence
Monografía
monografia Rebiun22948246 https://catalogo.rebiun.org/rebiun/record/Rebiun22948246 cr nn 008mamaa 141105s2015 ii s 00 0 eng d 9788132220749 9788132220756 9788132220732 9788132228943 10.1007/978-81-322-2074-9 doi UMA.RE eng UYQ bicssc COM004000 bisacsh 006.3 23 Tripathi, Bipin Kumar. aut. http://id.loc.gov/vocabulary/relators/aut High Dimensional Neurocomputing Recurso electrónico] Growth, Appraisal and Applications by Bipin Kumar Tripathi New Delhi Springer India 2015 New Delhi New Delhi Springer India New Delhi Springer India Imprint: Springer 2015 New Delhi New Delhi Springer India Imprint: Springer XIX, 165 p. 49 il XIX, 165 p. 49 il Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Computational Intelligence 571 Bibliographic Level Mode of Issuance: Monograph Neuro-Computing with High Dimensional Parameters -- Neuro-Computing in Complex Domain -- Higher Order Computational Model of Novel Neurons -- Neuro-Computing in Space -- High Dimensional Mapping -- Machine Recognition for Biometric Application in Complex Domain The book presents a coherent understanding of computational intelligence from the perspective of what is known as "intelligent computing" with high-dimensional parameters. It critically discusses the central issue of high-dimensional neurocomputing, such as quantitative representation of signals, extending the dimensionality of neuron, supervised and unsupervised learning and design of higher order neurons. The strong point of the book is its clarity and ability of the underlying theory to unify our understanding of high-dimensional computing where conventional methods fail. The plenty of application oriented problems are presented for evaluating, monitoring and maintaining the stability of adaptive learning machine. Author has taken care to cover the breadth and depth of the subject, both in the qualitative as well as quantitative way. The book is intended to enlighten the scientific community, ranging from advanced undergraduates to engineers, scientists and seasoned researchers in computational intelligence English Engineering Optical pattern recognition Biometrics Computational Intelligence. Pattern Recognition. Mathematical Models of Cognitive Processes and Neural Networks. Biometrics. Engineering Optical pattern recognition Biometrics Computational Intelligence Pattern Recognition Mathematical Models of Cognitive Processes and Neural Networks 81-322-2073-0 Studies in Computational Intelligence 571