Introduction to Neural Networks

1. Introduction
1.1 Biological and Artificial Neural Networks
1.2 History and Development
1.3 Neural Networks versus Conventional Computing

2. Components
2.1 Artificial Neurones
2.2 Artificial Networks
2.3 Learning Algorithms

3. Supervised Learning
3.1 Perceptrons
3.2 The Delta Rule
3.3 Back-propagation

4. Unsupervised Learning
4.1 Hopfield Networks
4.2 The Hebbian Principle
4.3 Self-organising Maps
4.4 Reinforcement Learning

5. Applications
5.1 Business and Economy
5.2 Science
5.3 Health
5.4 Recreation and Sports

6. Conclusion
6.1 Final Thoughts
6.2 Suggested Reading

© 2008 Marcus bros

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