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High Dimensional Neurocomputing: Growth, Appraisal and Applications: 571 (Studies in Computational Intelligence, 571) - Tapa dura

Libro 98 de 538: Studies in Computational Intelligence

Tripathi, Bipin Kumar

 
9788132220732: High Dimensional Neurocomputing: Growth, Appraisal and Applications: 571 (Studies in Computational Intelligence, 571)
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ISBN 10: 8132220730 ISBN 13: 9788132220732
Editorial: Springer, 2014

Sinopsis

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.

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Acerca del autor

Dr. Bipin Kumar Tripathi completed his PhD in Computational Intelligence from IIT Kanpur, India and M. Tech in Computer Science and Engineering from IIT Delhi, India. Dr. Tripathi is currently serving as an Associate Professor in Department of Computer Science and Engineering of HBTI Kanpur, India. He is also leading the Nature-inspired Computational Intelligence Research Group (NCIRG) at HBTI. His areas of research include high-dimensional neurocomputing, computational neuroscience, intelligent system design, machine learning and computer vision focused on biometrics and 3D Imaging. He has published several research papers in these areas in many peer reviewed journals including IEEE Transaction/Elsevier/Springer and other international conferences. He has also contributed book chapters in different international publications and patent in his area. He is continuously serving as PC for many international conferences and as a reviewer of several international journals.

De la contraportada

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.

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Editorial
Springer
Año de publicación
2014
Idioma
Inglés
ISBN 10 
8132220730
ISBN 13 
9788132220732
Encuadernación
Tapa dura
Número de páginas
188
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