Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gra
Introduction to Neural Networks
โ Scribed by Phil Picton (auth.)
- Publisher
- Macmillan Education UK
- Year
- 1994
- Tongue
- English
- Leaves
- 177
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages i-viii
What is a Neural Network?....Pages 1-12
ADALINE....Pages 13-24
Perceptrons....Pages 25-45
Boolean Neural Networks....Pages 46-60
Associative Memory and Feedback Networks....Pages 61-82
Probabilistic Networks....Pages 83-94
Self-Organizing Networks....Pages 95-115
Neural Networks in Control Engineering....Pages 116-132
Threshold Logic....Pages 133-142
Implementation....Pages 143-157
Conclusions....Pages 158-159
Back Matter....Pages 160-168
โฆ Subjects
Artificial Intelligence (incl. Robotics)
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