Principe, Euliano, Lefebvre:

Neural and Adaptive Systems: Fundamentals through Simulations

Instructor Companion Site

Table Of Contents

Chapter 1: Data Fitting with Linear Models.

Chapter 2: Pattern Recognition.

Chapter 3: Multilayer Perceptrons.

Chapter 4: Designing and Training MLPs.

Chapter 5: Function Approximation with MLPs, Radial Basis Functions, and Support Vector Machines.

Chapter 6: Hebbian Learning and Principal Component Analysis.

Chapter 7: Competitive and Kohonen Networks.

Chapter 8: Principles of Digital Signal Processing.

Chapter 9: Adaptive Filters.

Chapter 10: Temporal Processing with Neural Networks.

Chapter 11: Training and Using Recurrent Networks.
* These links will open a new window

Copyright © 2000-2026 by John Wiley & Sons, Inc., or related companies. All right reserved.  | Privacy Policy