Chapter 4 - Self-Organizing Maps
by Fábio M. Soares, Alan M.F. Souza
Neural Network Programming with Java
- Neural Network Programming with Java
- Table of Contents
- Neural Network Programming with Java
- Credits
- About the Authors
- About the Reviewer
- www.PacktPub.com
- Preface
- 1. Getting Started with Neural Networks
- 2. How Neural Networks Learn
- 3. Handling Perceptrons
- 4. Self-Organizing Maps
- 5. Forecasting Weather
- 6. Classifying Disease Diagnosis
- 7. Clustering Customer Profiles
- 8. Pattern Recognition (OCR Case)
- 9. Neural Network Optimization and Adaptation
- A. Setting up the NetBeans Environment
- B. Setting Up the Eclipse Environment
- C. References
- Chapter 1 - Getting Started with Neural Networks
- Chapter 2 - How Neural Networks Learn
- Chapter 3 - Working with Perceptrons
- Chapter 4 - Self-Organizing Maps
- Chapter 5 - Forecasting Weather
- Chapter 6 - Disease Diagnosis
- Chapter 7 - Clustering Customer Profiles
- Chapter 8 - Pattern Recognition (the OCR Case)
- Chapter 9 - Neural Network Optimization and Adaptation
- Index
- Richard O Duda, Peter E. Hart, David G. Stork. Unsupervised Learning and Clustering, Pattern Classification 2nd ed.. Wiley, 2001.
- Geoffrey Hinton, Terrence, J. Sejnowski. Unsupervised Learning: Foundations of Neural Computation. MIT Press, 1999.
- David E. Rummelhart, David Zipser. Feature discovery by competitive learning. Cognitive science 9.1, pp. 75-112, 1985.
- Teuvo Kohonen. Self-Organized Formation of Topologically Correct Feature Maps. Biological Cybernetics, v. 43 (1), pp. 59-69, 1982.
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