神經(jīng)網(wǎng)絡(luò)的綜合基礎(chǔ)

內(nèi)容概要

本書詳細(xì)分析了最知名的人工神經(jīng)網(wǎng)絡(luò)(ANN)模型，對(duì)它們進(jìn)行了富有成果的比較，尤其注意從系統(tǒng)論和統(tǒng)計(jì)學(xué)的角度分析問題。

書籍目錄

1,Introduction
2,Learning processes
3,single layer perceptrons
4,Multiayer perceptrons
5,Redial-Basis function networks
6,support vector machines
7,committee machines
8,principal components Analysis
9,self-organizing maps
10,information-theoretic models
11,stochastic machines and their approximates rooted in statistical mechanics
12,Neurodynamic programming
13,Temporal processing using feedforward networks
14,neurodynamics
15,Dynamically driven recurrent networks

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