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Ram-Based Neural Networks

By: James Austin

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Hardcover | 1 December 1996

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Hardcover
252 Pages

Dimensions(cm)
22.86 x 15.88 x 1.91

Hardcover

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RAM-based networks are a class of methods for building pattern recognition systems. Unlike other neural network methods, they learn very quickly and as a result are applicable to a wide variety of problems. This important book presents the latest work by the majority of researchers in the field of RAM-based networks.

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Pattern Recognition Booktopia Publisher Services World Scientific Publishing

Preface
RAM-Based Neural Networks, a Short History	p. 3
From WISARD to MAGNUS: A Family of Weightless Virtual Neural Machines	p. 18
A Comparative Study of GSN[superscript f] Learning Methods	p. 31
The Advanced Uncertain Reasoning Architecture, AURA	p. 43
Benchmarking N-Tuple Classifier with StatLog Datasets	p. 53
Comparison of Some Methods for Processing "Grey Level" Data in Weightless Networks	p. 61
A Framework for Reasoning About RAM-Based Neural Networks for Image Analysis Applications	p. 71
Cross-Validation and Information Measures for RAM-Based Neural Networks	p. 78
A Modular Approach to Storage Capacity	p. 89
Good-Turing Estimation for the Frequentist N-Tuple Classifier	p. 101
Partially Pre-calculated Weights for Backpropagation Training of RAM-Based Sigma-Pi Nets	p. 110
Optimisation of RAM Nets Using Inhibition Between Classes	p. 123
A New Paradigm for RAM-Based Neural Networks	p. 130
Content Analysis of Document Images Using the ADAM Associative Memory	p. 143
Texture Image Classification Using N-Tuple Coding of the Zero-Crossing Sketch	p. 155
A Compound Eye for a Simple Robotic Insect	p. 166
Extracting Directional Information for the Recognition of Fingerprints by pRAM Networks	p. 174
Detection of Spatial and Temporal Relations in a Two-Dimensional Scene Using a Phased Weightless Neural State Machine	p. 186
Combining Two Boolean Neural Networks for Image Classification	p. 193
Detecting Danger Labels with RAM-Based Neural Networks	p. 205
Fast Simulation of a Binary Neural Network on a Message Passing Parallel Computer	p. 213
C-NNAP: A Dedicated Processor for Binary Neural Networks	p. 225
Author Affiliations	p. 239
Table of Contents provided by Blackwell. All Rights Reserved.

Ram-Based Neural Networks

At a Glance

Hardcover

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