By M. N. S. Swamy, Ke-Lin Du
From the again Cover
Providing a large yet in-depth creation to neural community and computer studying in a statistical framework, this ebook presents a unmarried, finished source for research and extra examine. all of the significant well known neural community types and statistical studying techniques are coated with examples and workouts in each bankruptcy to strengthen a realistic operating knowing of the content.
Each of the twenty-five chapters contains cutting-edge descriptions and critical study effects at the respective themes. The huge insurance comprises the multilayer perceptron, the Hopfield community, associative reminiscence types, clustering types and algorithms, the radial foundation functionality community, recurrent neural networks, central part research, nonnegative matrix factorization, self reliant part research, discriminant research, help vector machines, kernel equipment, reinforcement studying, probabilistic and Bayesian networks, info fusion and ensemble studying, fuzzy units and common sense, neurofuzzy types, implementations, and a few computer studying issues. functions to biometric/bioinformatics and knowledge mining also are included.
Focusing at the well-liked accomplishments and their functional features, educational and technical employees, graduate scholars and researchers will locate that this offers an excellent beginning and encompassing reference for the fields of neural networks, development popularity, sign processing, desktop 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 collage, 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 collage of Hong Kong, the Hong Kong college of technological know-how and know-how, and Concordia college. He has released books and over 50 papers, and filed over 15 patents. His present learn 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 study Chair sign Processing within the division of electric and laptop Engineering, Concordia college, the place he was once Dean of the college of Engineering and desktop technological know-how from 1977 to 1993 and the founding Chair of the EE division. He has released greatly within the components 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.