Neural Networks Theory (eBook)

Alexander I. Galushkin (Autor)

eBook Download: PDF

2007
XX, 396 Seiten
Springer Berlin (Verlag)
978-3-540-48125-6 (ISBN)

Infos

This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural continua in function spaces as well.

Inhalt

Foreword 6
Foreword 8
Foreword 9
Contents 11
Introduction 19
The Structure of Neural Networks 51
Transfer from the Logical Basis of Boolean Elements “ AND, OR, NOT” to the Threshold Logical Basis 53
Qualitative Characteristics of Neural Network Architectures 60
Optimization of Cross Connection Multilayer Neural Network Structure 70
Continual Neural Networks 84
Optimal Models of Neural Networks 92
Investigation of Neural Network Input Signal Characteristics 93
Design of Neural Network Optimal Models 104
Analysis of the Open-Loop Neural Networks 135
Development of Multivariable Function Extremum Search Algorithms 156
Adaptive Neural Networks 173
Neural Network Adjustment Algorithms 174
Adjustment of Continuum Neural Networks* 199
Selection of Initial Conditions During Neural Network Adjustment – Typical Neural Network Input Signals 217
Analysis of Closed-Loop Multilayer Neural Networks 233
Synthesis of Multilayer Neural Networks with Flexible Structure 283
Informative Feature Selection in Multilayer Neural Networks 305
Neural Network Reliability and Diagnostics 313
Neural Network Reliability 314
Neural Network Diagnostics 329
Summary 347
Methods of Problem Solving in the Neural Network Logical Basis 348
Conclusion 384
Literature 386
Author’s Publications on Neural Network Theory 388
Index 397

Produkt-Details

• Erscheint lt. Verlag: 29.10.2007
• Zusatzinfo: XX, 396 p.
• Verlagsort: Berlin
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Naturwissenschaften ► Physik / Astronomie
• Themenwelt: Technik
• Schlagworte: algorithm • algorithms • Applications of Fuzzy Logic • Architecture • Artificial Intelligence • Calculus • Complexity • Complexity theory • Fuzziness • Fuzzy Logic • MATLAB • Nonlinear Dynamics • Optimization • Signal
• ISBN-10: 3-540-48125-7 / 3540481257
• ISBN-13: 978-3-540-48125-6 / 9783540481256