Neural Networks and Learning Machines Simon Haykin

By:

Haykin, Simon

Material type: Text

TextLanguage: English Publication details: Delhi : Pearson India Education, 2016Edition: 3rd edDescription: xxiv, 918 p. ill.; 23 cmISBN:

9789332570313

Subject(s):

DDC classification:

006.32 HAY

Contents:

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

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
General Books	CUTN Central Library Generalia	Non-fiction	006.32 HAY (Browse shelf(Opens below))	Available	33887
General Books	CUTN Central Library Generalia	Non-fiction	006.32 HAY (Browse shelf(Opens below))	Available	33888
General Books	CUTN Central Library Generalia	Non-fiction	006.32 HAY (Browse shelf(Opens below))	Available	33889

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

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