Neural networks and artificial intelligence for biomedical engineering / Donna L. Hudson, Maurice E. Cohen.
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York :
Institute of Electrical and Electronics Engineers,
[2000]
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| Series: | IEEE Press series in biomedical engineering
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| Subjects: |
Table of Contents:
- Preface
- Acknowledgments
- Pt. I. Neural Networks
- Ch. 1. Foundations of Neural Networks
- Ch. 2. Classes of Neural Networks
- Ch. 3. Classification Networks and Learning
- Ch. 4. Supervised Learning
- Ch. 5. Unsupervised Learning
- Ch. 6. Design Issues
- Ch. 7. Comparative Analysis
- Ch. 8. Validation and Evaluation
- Pt. II. Artificial Intelligence
- Ch. 9. Foundations of Computer-Assisted Decision Making
- Ch. 10. Knowledge Representation
- Ch. 11. Knowledge Acquisition
- Ch. 12. Reasoning Methodologies
- Ch. 13. Validation and Evaluation
- Pt. III. Alternative Approaches
- Ch. 14. Genetic Algorithms
- Ch. 15. Probabilistic Systems
- Ch. 16. Fuzzy Systems
- Ch. 17. Hybrid Systems
- Ch. 18. HyperMerge, a Hybrid Expert System
- Ch. 19. Future Perspectives
- Index
- About the Authors.