By M. N. S. Swamy, Ke-Lin Du
From the again Cover
Providing a extensive yet in-depth creation to neural community and laptop studying in a statistical framework, this e-book presents a unmarried, complete source for research and additional study. the entire significant renowned neural community types and statistical studying methods are coated with examples and workouts in each bankruptcy to strengthen a pragmatic operating realizing of the content.
Each of the twenty-five chapters comprises cutting-edge descriptions and demanding learn effects at the respective issues. The wide insurance contains the multilayer perceptron, the Hopfield community, associative reminiscence types, clustering versions and algorithms, the radial foundation functionality community, recurrent neural networks, crucial part research, nonnegative matrix factorization, self reliant part research, discriminant research, aid vector machines, kernel tools, reinforcement studying, probabilistic and Bayesian networks, information fusion and ensemble studying, fuzzy units and common sense, neurofuzzy types, implementations, and a few computer studying themes. purposes to biometric/bioinformatics and information mining also are included.
Focusing at the widespread accomplishments and their functional points, educational and technical employees, graduate scholars and researchers will locate that this gives a high-quality origin and encompassing reference for the fields of neural networks, trend attractiveness, sign processing, laptop studying, computational intelligence, and knowledge mining.
About the Author
Ke-Lin Du is presently the manager Scientist at Enjoyor Inc., China. he's additionally an associate affiliate Professor in division of electric and computing device Engineering at Concordia collage, Canada. ahead of becoming a member of Enjoyor Inc. in 2012, he held positions with Huawei applied sciences, the China Academy of Telecommunication know-how, the chinese language collage of Hong Kong, the Hong Kong collage of technology and know-how, and Concordia college. 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 examine Professor and holder of the Concordia Tier I examine Chair sign Processing within the division of electric and desktop Engineering, Concordia collage, the place he was once Dean of the school of Engineering and desktop technological know-how from 1977 to 1993 and the founding Chair of the EE division. He has released broadly within the parts of circuits, structures and sign processing, and co-authored 5 books. Professor Swamy is a Fellow of the IEEE, IET (UK) and EIC (Canada), and has acquired 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.