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

By:

Iovine, John [author]

Material type: Text

TextPublication details: [Place of publication not identifed] : Images SI Inc, c2012Description: ix, 177 pages : illustrations ; 23 cmISBN:

9780967701752

Subject(s):

NEURAL NETWORKS

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.

Item type:

Books

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Holdings
Item type	Current library	Home library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	National University - Manila	LRC - Main General Circulation	Computer Science	GC QA 76.87 .L58 2012 (Browse shelf(Opens below))	c.1	Available		NULIB000014384

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Previous	GC QA 76.87 .D8 2014 Neural networks and statistical learning /	GC QA 76.87 .G73 2013 Principles of artificial neural networks /	GC QA 76.87 .H34 2017 Neural network design /	GC QA 76.87 .L58 2012 Understanding neural networks : The experimenter's guide includes hardware and software projects /	GC QA 76.754 .W45 1993 How software works /	GC QA 76.755 .O84 1990 OSF/Motif programmer's reference, revision 1.0 /	GC QA 76.758 .B73 2011 c.2 Software engineering : modern approaches /	Next

Includes index.

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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