Neural and Adaptive Systems: Fundamentals through Simulations
José C. Principe
- 出版商: Wiley
- 出版日期: 1999-12-21
- 售價: $1,200
- 貴賓價: 9.5 折 $1,140
- 語言: 英文
- 頁數: 676
- 裝訂: Paperback
- ISBN: 0471351679
- ISBN-13: 9780471351672
Develop New Insight into the Behavior of Adaptive Systems This one-of-a-kind
interactive book and CD-ROM will help you develop a better understanding of the
behavior of adaptive systems. Developed as part of a project aimed at innovating
the teaching of adaptive systems in science and engineering, it unifies the
concepts of neural networks and adaptive filters into a common framework. It
begins by explaining the fundamentals of adaptive linear regression and builds
on these concepts to explore pattern classification, function approximation,
feature extraction, and time-series modeling/prediction. The text is integrated
with the industry standard neural network/adaptive system simulator
NeuroSolutions. This allows the authors to demonstrate and reinforce key
concepts using over 200 interactive examples. Each of these examples is 'live,'
allowing the user to change parameters and experiment first-hand with real-world
adaptive systems. This creates a powerful environment for learning through both
visualization and experimentation. Key Features of the Text
* The text and CD combine to become an interactive learning tool.
* Emphasis is on understanding the behavior of adaptive systems rather than mathematical derivations.
* Each key concept is followed by an interactive example.
* Over 200 fully functional simulations of adaptive systems are included.
* The text and CD offer a unified view of neural networks, adaptive filters, pattern recognition, and support vector machines.
* Hyperlinks allow instant access to keyword definitions, bibliographic references, equations, and advanced discussions of concepts.
The CD-ROM Contains:
* A complete, electronic version of the text in hypertext format
* NeuroSolutions, an industry standard, icon-based neural network/adaptive system simulator
* A tutorial on how to use NeuroSolutions
* Additional data files to use with the simulator
"An innovative approach to describing neurocomputing and adaptive learning systems from a perspective which unifies classical linear adaptive systems approaches with the modern advances in neural networks. It is rich in examples and practical insight." -James Zeidler, University of California, San Diego
Table of Contents
Data Fitting with Linear Models.
Designing and Training MLPs.
Function Approximation with MLPs, Radial Basis Functions, and Support Vector Machines.
Hebbian Learning and Principal Component Analysis.
Competitive and Kohonen Networks.
Principles of Digital Signal Processing.
Temporal Processing with Neural Networks.
Training and Using Recurrent Networks.