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Understanding neural networks : The experimenter's guide includes hardware and software projects / John Lovine

By: Material type: TextTextPublication details: [Place of publication not identifed] : Images SI Inc, c2012Description: ix, 177 pages : illustrations ; 23 cmISBN:
  • 9780967701752
Subject(s): LOC classification:
  • QA 76.87 .L58 2012
Contents:
Chapter 1: Introduction to neural networks -- Chapter 2. Neurons: Biological, Electronic and Mathematical -- Chapter 3. Hardware Project: Electronic Neurons -- Chapter 4. Vision -- Chapter 5. Software Project: The Perception -- Chapter 6. Speech Recognition -- Chapter 7. Hardware Project: Speech Recognition -- Chapter 8. Neural Paradigms -- Chapter 9. Back Propagation Networks -- Chapter 10. Net Talk -- Epilogue.
Summary: Understanding Neural Networks is an introductory text to artificial neural networks. The book begins with examining biological neurons in the human brain and defining their real world mathematical and electronic equivalent. Building upon this foundation the book contains hardware and software projects that illustrate neural networks. Hardware projects include a op-amp neuron that tracks a light source, speech recognition system, and machine vision system. Software projects include a Preceptron program and Back-Propagation networks.
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Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Main General Circulation Computer Science GC QA 76.87 .L58 2012 (Browse shelf(Opens below)) c.1 Available NULIB000014384

Includes index.

Chapter 1: Introduction to neural networks -- Chapter 2. Neurons: Biological, Electronic and Mathematical -- Chapter 3. Hardware Project: Electronic Neurons -- Chapter 4. Vision -- Chapter 5. Software Project: The Perception -- Chapter 6. Speech Recognition -- Chapter 7. Hardware Project: Speech Recognition -- Chapter 8. Neural Paradigms -- Chapter 9. Back Propagation Networks -- Chapter 10. Net Talk -- Epilogue.

Understanding Neural Networks is an introductory text to artificial neural networks. The book begins with examining biological neurons in the human brain and defining their real world mathematical and electronic equivalent. Building upon this foundation the book contains hardware and software projects that illustrate neural networks. Hardware projects include a op-amp neuron that tracks a light source, speech recognition system, and machine vision system. Software projects include a Preceptron program and Back-Propagation networks.

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