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Neural Networks
https://doi.org/10.1142/9789814447393_0011Cited by:0 (Source: Crossref)
Abstract:
The following sections are included:
Introduction
Hopfield Model
Introduction
Synchronous Operations
Energy Function
Basins and Radii of Attraction
Spurious Attractors
Hebb's Law
Example
Program
Asynchronous Operation
Translation Invariant Pattern Recognition
Similarity Metrics
Kohonen Network
Introduction
Algorithm
Example
Traveling Salesman Problem
Perceptron
Introduction
Boolean Functions
Linearly Separable Sets
Perceptron Learning
One and Two Layered Networks
Perceptron Learning Algorithm
The XOR Problem and Two-Layered Networks
Multilayer Perceptrons
Introduction
Cybenko's Theorem
Back-Propagation Algorithm
