Neural Networks for Pattern Recognition

1. Statistical pattern recognition; 2. Probability density estimation; 3. Single-layer networks; 4. The multi-layer perceptron; 5. Radial basis functions; 6. Error functions; 7. Parameter optimization algorithms; 8. Pre-processing and feature extraction; 9. Learning and generalization; 10. Bayesian techniques