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Neural and Adaptive Systems: Fundamentals through Simulations
Neural and Adaptive Systems: Fundamentals through Simulations
José C. Principe
Neil R. Euliano
W. Curt Lefebvre
ISBN: 978-0-471-35167-2
©2000
672 pages
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STUDENTS
TITLE INFORMATION
Description  |  Table of Contents  |  Detailed Contents  |  Hallmark Features  |  Supplements
Table of Contents
  1. Data Fitting with Linear Models
  2. Pattern Recognition
  3. Multi-layer Perceptions
  4. Designing and Training MLPs
  5. Function Approximation with MLPs and Radial Basis Functions
  6. Hebbian Learning and Principal Component Analysis
  7. Competitive and Kohonen Networks
  8. Principles of Digital Signal Processing
  9. Adaptive Filters
  10. Temporal Processing with Neural Networks
  11. Training and Using Recurrent Networks
Appendices
  1. Elements of Linear Algebra and Pattern Recognition
  2. NeuroSolutions Tutorial
  3. Data Directory
 

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