Neural Smithing

Author: Russell Reed
Editor: MIT Press
ISBN: 0262527014
File Size: 78,32 MB
Format: PDF, ePub
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Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition). This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.
Neural Smithing
Language: en
Pages: 360
Authors: Russell Reed, Robert J Marks, II
Categories: Computers
Type: BOOK - Published: 1999-02-17 - Publisher: MIT Press

Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the
Neural Smithing
Language: en
Pages: 346
Authors: Russell Reed, Robert J Marks
Categories: Computers
Type: BOOK - Published: 1999-02-17 - Publisher: MIT Press

Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the
Introduction to Neural Networks with Java
Language: en
Pages: 440
Authors: Jeff Heaton
Categories: Computers
Type: BOOK - Published: 2008 - Publisher: Heaton Research, Inc.

Introduction to Neural Networks in Java, Second Edition, introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward, Hopfield, and Self Organizing Map networks are discussed. Training techniques such as Backpropagation, Genetic Algorithms and Simulated Annealing are also introduced. Practical
Geophysical Applications of Artificial Neural Networks and Fuzzy Logic
Language: en
Pages: 325
Authors: W. Sandham, M. Leggett
Categories: Mathematics
Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media

The past fifteen years has witnessed an explosive growth in the fundamental research and applications of artificial neural networks (ANNs) and fuzzy logic (FL). The main impetus behind this growth has been the ability of such methods to offer solutions not amenable to conventional techniques, particularly in application domains involving
Neural Networks for Hydrological Modeling
Language: en
Pages: 316
Authors: Robert Abrahart, P.E. Kneale, Linda M. See
Categories: Science
Type: BOOK - Published: 2004-05-15 - Publisher: CRC Press

A new approach to the fast-developing world of neural hydrological modelling, this book is essential reading for academics and researchers in the fields of water sciences, civil engineering, hydrology and physical geography. Each chapter has been written by one or more eminent experts working in various fields of hydrological modelling.