TY  - BOOK
AU  - Du,Ke-Lin‏
AU  - Swamy,M.N.S.
TI  - Neural networks and statistical learning
SN  - 9781447155706
U1  - 006.32 23
PY  - 2014///
CY  - London
PB  - Springer
KW  - Neural networks (Computer science)
N1  - Introduction.- Fundamentals of Machine Learning.- Perceptrons.- Multilayer perceptrons: architecture and error backpropagation.- Multilayer perceptrons: other learing techniques.- Hopfield networks, simulated annealing and chaotic neural networks.- Associative memory networks.- Clustering I: Basic clustering models and algorithms.- Clustering II: topics in clustering.- Radial basis function networks.- Recurrent neural networks.- Principal component analysis.- Nonnegative matrix factorization and compressed sensing.- Independent component analysis.- Discriminant analysis.- Support vector machines.- Other kernel methods.- Reinforcement learning.- Probabilistic and Bayesian networks.- Combining multiple learners: data fusion and emsemble learning.- Introduction of fuzzy sets and logic.- Neurofuzzy systems.- Neural circuits.- Pattern recognition for biometrics and bioinformatics.- Data mining.- Appenidx A. Mathematical Preliminaries.- Appendix B. Benchmarks and resources
UR  - http://www.loc.gov/catdir/enhancements/fy1317/2013948860-b.html
UR  - http://www.loc.gov/catdir/enhancements/fy1317/2013948860-d.html
UR  - http://www.loc.gov/catdir/enhancements/fy1317/2013948860-t.html
UR  - http://repository.fue.edu.eg/xmlui/handle/123456789/3528
ER  -