Advances in Computers
Academic Press
Published on 14. September 1993
452 pages
978-0-08-056669-6 (ISBN)
Description
Advances in Computers
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Marshall C. Yovits
Advances in Computers: v. 37
Book
10/1993
Academic Press
€91.00
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Content
- Front Cover
- Advances in Computers, Volume 37
- Copyright Page
- Contents
- Contributors
- Preface
- Chapter 1. Approaches to Automatic Programming
- 1. Introduction
- 2. What Does the User See?
- 3. HowDoes the System Work?
- 4. What Does the System Know?
- 5. The Programmer's Apprentice
- 6. Conclusions
- References
- Chapter 2. Digital Signal Processing
- 1. Introduction
- 2. An Historical Overview
- 3. Sampling and Aliasing
- 4. The Discrete Fourier Transform
- 5. The Fast Fourier Transform
- 6. Digital Filtering
- 7. Statistical Signal Processing and Filter Design
- 8. Programmable DSP's
- 9. Software Design Tools
- 10. Closure
- References
- Chapter 3. Neural Networks for Pattern Recognition
- 1. Introduction
- 2. Neural Network Architectures
- 3. Gradient Descent Learning Algorithms
- 4. Relaxation Learning Algorithms
- 5. Hebbian Learning
- 6. Performance and Implementation
- 7. Conclusions
- References
- Chapter 4. Experiments in Computational Heuristics and Their Lessons for Software and Knowledge Engineering
- 1. Overview
- 2. The Nature of Heuristic Computation
- 3. Every Interactive System Evolves into Hyperspace : The Case of the Smart Game Board
- 4. A Snapshot of Two Olympic Medalists: Players for Go and Nine Men's Morris
- 5. Exhaustive Search in Large Spaces: The Complexity of Jigsaw Puzzles
- 6. Exploratory Software Development : Uncertain Resources, Open-Ended Goals
- 7. The Unpredictable Complexity of Knowledge Formalization
- 8. Conclusions
- Acknowledgments
- References
- Chapter 5. High-Level Synthesis of Digital Circuits
- 1. Introduction
- 2. Circuit Modeling
- 3. Compilation and Behavioral Optimization
- 4. Structural Synthesis
- 5. Scheduling
- 6. Data-Path Synthesis and Optimization
- 7. Control Synthesis
- 8. Synthesis of Pipelined Circuits
- 9. High-Level Synthesis Systems
- 10. Conclusions
- Acknowledgments
- References
- Chapter 6. Issues in Dataflow Computing
- 1. Introduction
- 2. Dataflow Principles
- 3. Earlier Dataflow Architectures
- 4. A Survey of Current Dataflow Proposals
- 5. Data Structures
- 6. Program Allocation
- 7. Resource Requirements in Dataflow
- 8. Conclusion
- References
- Chapter 7. A Sociological History of the Neural Network Controversy
- 1. Introduction : A Sociological View of Scientific Controversies
- 2. The Controversy of the Perceptron
- 3. The Problems of Early Neural Networks
- 4. Training Multilayer Networks : A "Reverse Salient" of Neural
- 5. Interpretative Flexibility
- 6. Closure of the Controversy 1 : Widrow's Group
- 7. Closure of the Controversy 2: The SRI Group
- 8. Closure of the Controversy 3: Rosenblatt
- 9. The 1980s: A Changing Context
- 10. History of Back-Propagation
- 11. Back-Propagation: Learning in Multilayer Perceptrons
- 12. The Neural Network Explosion
- 13. The Current Debate: Conclusions
- Appendix 1 . List of Those Interviewed
- Appendix 2 . List of Personal Communications by Letter
- Abbreviations Used
- Acknowledgments
- References
- Author Index
- Subject Index
- Contents of Volumes in This Series
