By M. N. S. Swamy, Ke-Lin Du
From the again Cover
Providing a extensive yet in-depth creation to neural community and computing device studying in a statistical framework, this booklet offers a unmarried, entire source for research and additional learn. the entire significant renowned neural community types and statistical studying techniques are coated with examples and workouts in each bankruptcy to strengthen a pragmatic operating figuring out of the content.
Each of the twenty-five chapters contains state of the art descriptions and demanding study effects at the respective issues. The huge insurance comprises the multilayer perceptron, the Hopfield community, associative reminiscence types, clustering versions and algorithms, the radial foundation functionality community, recurrent neural networks, significant part research, nonnegative matrix factorization, self reliant part research, discriminant research, aid vector machines, kernel equipment, reinforcement studying, probabilistic and Bayesian networks, information fusion and ensemble studying, fuzzy units and common sense, neurofuzzy versions, implementations, and a few computing device studying issues. functions to biometric/bioinformatics and information mining also are included.
Focusing at the favorite accomplishments and their sensible features, educational and technical employees, graduate scholars and researchers will locate that this offers a pretty good starting place and encompassing reference for the fields of neural networks, trend reputation, sign processing, computing device studying, computational intelligence, and information mining.
About the Author
Ke-Lin Du is at the moment the manager Scientist at Enjoyor Inc., China. he's additionally an associate affiliate Professor in division of electric and machine Engineering at Concordia college, Canada. ahead of becoming a member of Enjoyor Inc. in 2012, he held positions with Huawei applied sciences, the China Academy of Telecommunication expertise, the chinese language college of Hong Kong, the Hong Kong collage of technology and know-how, and Concordia collage. He has released books and over 50 papers, and filed over 15 patents. His present study pursuits comprise sign processing, neural networks, clever platforms, and instant communications. he's a Senior Member of the IEEE.
M.N.S. Swamy is presently a learn Professor and holder of the Concordia Tier I study Chair sign Processing within the division of electric and desktop Engineering, Concordia college, the place he used to be Dean of the college of Engineering and laptop technology from 1977 to 1993 and the founding Chair of the EE division. He has released broadly within the components of circuits, platforms and sign processing, and co-authored 5 books. Professor Swamy is a Fellow of the IEEE, IET (UK) and EIC (Canada), and has bought many IEEE-CAS awards, together with the Guillemin-Cauer award in 1986, in addition to the schooling Award and the Golden Jubilee Medal, either in 2000.