A Wiley-Interscience publication

Preface. 1. Introduction. 2. Statistical decision theory. 3. N eed for approximations: fundamentals approaches. 4. Classification based on statistical models determined by first and second order statistical moments. 5. Classification based on mean-square functional approximations. 6. Multilayer perceptron regression. 7. Radial basis functions. 9. Measurements, features and feature selection. 10. Reject criteria and classifier performance. 11. Combining classifiers. 12. Conclusion. 13. STATMOD program: description of ftp package.