商品簡介
Like no other text in this field, authors Jose C. Principe, Neil R. Euliano, and W. Curt Lefebvre have written a unique and innovative text unifying the concepts of neural networks and adaptive filters into a common framework.
The text is suitable for senior/graduate courses in neural networks and adaptive filters. It offers over 200 fully functional simulations (with instructions) to demonstrate and reinforce key concepts and help the reader develop an intuition about the behavior of adaptive systems with real data. This creates a powerful self-learning environment highly suitable for the professional audience.
作者簡介
Jose C. Principe, University of Florida Neil R. Euliano and W. Curt Lefebvre, both of NeuroDimension, Inc.
目次
Data Fitting with Linear Models.
Pattern Recognition.
Multilayer Perceptrons.
Designing and Training MLPs.
Function Approximation with MLPs, Radial Basis Functions, and Support Vector Machines.
Hebbian Learning and Principal Component Analysis.
Competitive and Kohonen Networks.
Principles of Digital Signal Processing.
Adaptive Filters.
Temporal Processing with Neural Networks.
Training and Using Recurrent Networks.
Appendices.
Glossary.
Index.
