TY  - BOOK
AU  - Haykin, Simon 
TI  - Neural networks and learning machines
SN  - 9789332570313
U1  - 004.89  
PY  - 2016///
CY  - Noida
PB  - Pearson
KW  - Neural networks (Computer science)
KW  - Neural networks (Computer science) -- Problems, exercises, etc
KW  -  Lernendes System
N1  - Rosenblatt's perceptron --
; Model building through regression --
; The least-mean-square algorithm --
; Multilayer perceptrons --
; Kernel methods and radial-basis function networks --
; Support vector machines --
; Regularization theory --
; Principal-components analysis --

; Self-organizing maps --
; Information-theoretic learning models --; Stochastic methods rooted in statistical mechanics --

; Dynamic programming --; Neurodynamics --
; Bayseian filtering for state estimation of dynamic systems --
; Dynamically driven recurrent networks
N2  - Using a wealth of case studies to illustrate the real-life, practical applications of neural networks, this state-of-the-art text exposes students to many facets of Neural Networks
ER  -