A Practical Guide to Neural Nets
Marilyn McCord-Nelson, W.T. Illingworth · Medical Entomology and Zoology · 1991
List of Illustrations. Acknowledgments. Preface. 1. What Can You Do with a Neural Network? Introduction. Existing Applications. Prototype and Research Activity. List of Possible Applications. Summary. 2. Next Question: What and Why? What Is a Neural Network? Why Neural Networks Now? Summary. 3. A Brief History of Neural Networks. Conception. Gestation. Birth. Early Infancy. Stunted Growth. Late Infancy. Who Are the Key Players? Summary. 4. How Do Neural Networks Work? Anthropomorphism: The Biological Metaphor. The Basic Components. Summary. 5. What Are Neural Networks Like? Mathematical Basis. Inherent Parallelism. Storing Knowledge. Fault Tolerance. Adaptability. Pattern Recognition. Appropriate Tasks. Types of Problems Addressed. Limitations and Concerns. Other Concerns. Summary. 6. How Do Neural Networks Relate to Other Technologies? Statistical Methods. Artificial Intelligence. Whole Brain Approach. Hybrid Technologies. Summary: A Maturation. 7. How Many Ways Can You Organize a Neural Network? Neurodynamics. Architecture. What Are Some of the Neural Network Paradigms? Summary. 8. How Do Neural Networks Learn? The Basic Learning Mechanism. Learning Modes. Learning Laws. Architecture and Learning Paradigms. Research Areas. Summary. 9. How Do You Move from Theory to Applications? Getting Started: One Approach. Preparing the Network Data. Five Network Applications on a PC. Comparing Network Applications. Back Propagation Mathematics: How to Computer a Neural Network Manually. Implementing Your Network. Summary and Recommendations. 10. How Are Neural Networks Being Implemented? Introduction. Terminology. Software Simulations. Emulation within Parallel Architecture. Neurocomputers. Networks on a Chip. Optical Neural Networks. Biological Computers. Synergistic Efforts. Summary. 11. What Is the Current Research? Introduction. Issues and Problems. Emerging Directions. Summary. 12. Where Do We Go from Here? Introduction. Are Neural Networks Intelligent? Why Use Neural Nets? New Horizons. Concerns. Summary and Opinions. Afterword. Appendix A. Your Interactive Neural Network Disk. Appendix B. Bibliography and Reading List. Appendix C. Selected Mathematics. Appendix D. Simulation of a Processing Element on Lotus 1-2-3. Index. 0201633787T04062001