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Introduction to neural networks.

Please note this is a Short Discount publication. Neural network technology has been a curiosity since the early days of computing. Research in the area went into a near dormant state for a number of years, but recently there has been a new increased interest in the subject. This has been due to a n...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Minneapolis, Minnesota : Architecture Technology Coporation, 1991.
Edición:Second edition.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Introduction to neural networks. 
250 |a Second edition. 
264 1 |a Minneapolis, Minnesota :  |b Architecture Technology Coporation,  |c 1991. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
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500 |a "September 1991." 
588 0 |a Online resource; title from PDF title page (ScienceDirect, viewed October 27, 2014). 
505 0 |a Front Cover; Introduction to Neural Networks; Copyright Page; DISCLAIMER; Table of Contents; List of Figures; List of Tables; Chapter 1. Overview; 1.1 Introduction; 1.2 Neurobiology; 1.3 Mathematical Theory; 1.4 Theoretical Foundations of Neural Networks; 1.5 A Biological Inspiration; 1.6 Artificial Neurons; 1.7 How a Neural Network Learns; 1.8 Layering of Neural Networks; Chapter 2. Neural Networks and Other Information Processing Approaches; 2.1 Overview of Brain Physiology; 2.2 Recent Results in Neurobiology; 2.3 Map Representations; 2.4 Self-Organization 
505 8 |a 2.5 Network Circuitry2.6 Network Dynamics; 2.7 Learning; 2.8 Attention; 2.9 Organizing Principles; Chapter 3. Tasks Neural Networks Perform and Representative Models; 3.1 Introduction; 3.2 Tasks That Neural Networks Perform; 3.3 Illustrative Neural Network Models; 3.4 Available implementation Tools; 3.5 A Simulated World; 3.6 Typical Application: The Kanji Character Recognizer; 3.7 Typical Application: Multi-layer Perceptron Vowel Classifier; Chapter 4. Detailed Approaches; 4.1 Single- And Multi-Layer Perceptrons; 4.2 Recurrent Networks; Chapter 5. Global Issues 
505 8 |a 5.1 Neural Networks And Other Disciplines5.2 Toward A Theory Of Neural Networks; Chapter 6. Technologies and Tools for Implementing Neural Networks; Chapter 7. Issues in Neural Network Research; Chapter 8. Neural Network Semiconductors; 8.1 Syntonic Systems, Inc; 8.2 Hitachi Ltd; 8.3 Neural Semiconductor Inc; 8.4 Philips; 8.5 CALTECH; 8.6 Nova Technology Inc; 8.7 Micro Devices Inc; 8.8 Intel; 8.9 Bell Laboratories; 8.10 Motorola Inc; Chapter 9. Major Vendors Plan Thrusts; 9.1 Apple Computer Inc; 9.2 IBM Corporation; 9.3 Motorola Inc; 9.4 Science Applications International 
505 8 |a Chapter 10. Other Products-Interfaces, Boards, and Software Packages10.1 Interfaces; 10.2 Boards; 10.3 Software Packages; Chapter 11. Conclusion; Chapter 12. Further Information 
520 |a Please note this is a Short Discount publication. Neural network technology has been a curiosity since the early days of computing. Research in the area went into a near dormant state for a number of years, but recently there has been a new increased interest in the subject. This has been due to a number of factors: interest in the military, apparent ease of implementation, and the ability of the technology to develop computers which are able to learn from experience. This report summarizes the topic, providing the reader with an overview of the field and its potential direction. Included. 
650 0 |a Neural networks (Computer science) 
650 6 |a R�eseaux neuronaux (Informatique)  |0 (CaQQLa)201-0209597 
650 7 |a Neural networks (Computer science)  |2 fast  |0 (OCoLC)fst01036260 
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