menu: Chapter
Introduction to the software Å lectMenHandle 1
Introduction to the course Å lectMenHandle 2
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1 What is Neural Computing? Å lectMenHandle 3
2 Purpose and applications Å lectMenHandle 4
3 The properties of neural networks Å lectMenHandle 5
4 The biology of neural networks Å lectMenHandle 6
5 Basic concepts Å lectMenHandle 7
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6 The perception Å lectMenHandle 8
7 Problems with the perceptron Å lectMenHandle 9
8 Problems with neurone functions Å lectMenHandle 10
9 Backward target propagation Å lectMenHandle 11
10 Backward error propagation Å lectMenHandle 12
11 Hopfield networks Å lectMenHandle 13
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12 Programming neural networks Å lectMenHandle 14
13 How to apply neural networks Å lectMenHandle 15
14 Neural network limitations and prospects Å lectMenHandle 16
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Contents Page Å lectMenHandle 17
Back Track Å bTrackHandler
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About Learning Neural Networks Å aboutHandler
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Exit Å stopButton
menu: Section
Introduction Å sectMenHandle 1
Speed Å sectMenHandle 2
Direct access memory Å sectMenHandle 3
Learning from experience Å sectMenHandle 4
Abstraction and generalization Å sectMenHandle 5
Fault tolerance and graceful degradation Å sectMenHandle 6
End test Å sectMenHandle 7