By M. N. S. Swamy, Ke-Lin Du
From the again Cover
Providing a wide yet in-depth creation to neural community and desktop studying in a statistical framework, this publication presents a unmarried, accomplished source for learn and extra examine. the entire significant well known neural community versions and statistical studying ways are lined with examples and workouts in each bankruptcy to improve a pragmatic operating realizing of the content.
Each of the twenty-five chapters comprises state of the art descriptions and demanding learn effects at the respective themes. The extensive insurance contains the multilayer perceptron, the Hopfield community, associative reminiscence types, clustering versions and algorithms, the radial foundation functionality community, recurrent neural networks, critical part research, nonnegative matrix factorization, autonomous part research, discriminant research, aid vector machines, kernel equipment, reinforcement studying, probabilistic and Bayesian networks, facts fusion and ensemble studying, fuzzy units and good judgment, neurofuzzy types, implementations, and a few laptop studying subject matters. functions to biometric/bioinformatics and knowledge mining also are included.
Focusing at the in demand accomplishments and their useful features, educational and technical employees, graduate scholars and researchers will locate that this offers a high-quality starting place and encompassing reference for the fields of neural networks, trend reputation, sign processing, computer 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 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 technological know-how and expertise, 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 at the moment a examine Professor and holder of the Concordia Tier I examine Chair sign Processing within the division of electric and machine Engineering, Concordia collage, 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 largely 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 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.