Computational Intelligence: An Introduction, 2/e (Hardcover)
Andries P. Engelbrecht
- 出版商: Wiley
- 出版日期: 2007-11-01
- 售價: $1,600
- 貴賓價: 9.5 折 $1,520
- 語言: 英文
- 頁數: 628
- 裝訂: Hardcover
- ISBN: 0470035617
- ISBN-13: 9780470035610
下單後立即進貨 (約5~7天)
買這商品的人也買了...
-
$1,100$1,045 -
$880$695 -
$150$128 -
$880$695 -
$5,990$5,691 -
$980$774 -
$3,480Handbook of Machine Vision
-
$1,300$1,235 -
$990$891 -
$550$468 -
$2,275$2,161 -
$650$553 -
$399Microsoft Office Communications Server 2007 Resource Kit (Paperback)
-
$1,250Feature Extraction & Image Processing, 2/e (Paperback)
-
$490$417 -
$740$629 -
$1,035Introduction to Information Retrieval (IE-Paperback)
-
$1,300$1,235 -
$780$663 -
$520$406 -
$520$442 -
$500$395 -
$580$458 -
$780$616 -
$580$458
商品描述
Description
The main focus of the book is on computational modelling of biological and natural intelligent systems in order to develop nature inspired artificially intelligent systems. These algorithmic models have as their main objective to facilitate the implementation of artificial intelligent systems for solving complex real-world systems (e.g. fuzzy systems are applied successfully to control systems, gear transmission, breaking systems; swarm intelligence to image classification).
This second edition expands on all these paradigms, providing a more detailed and equal treatment of them all. Most recent advances in CI have been added, namely artificial immune systems, hybrid systems, and a section on how to perform empirical studies.
Table of Contents
Page
List of Tables
List of Figures
List of Algorithms
Preface
Part I INTRODUCTION
1 Introduction to Computational Intelligence
Part II ARTIFICIAL NEURAL NETWORKS
2 The Artificial Neuron
3 Supervised Learning Neural Networks
4 Unsupervised Learning Neural Networks
5 Radial Basis Function Networks
6 Reinforcement Learning
7 Performance Issues (Supervised Learning)
Part III EVOLUTIONARY COMPUTATION
8 Introduction to Evolutionary Computation
9 Genetic Algorithms
10 Genetic Programming
11 Evolutionary Programming
12 Evolution Strategies
13 Differential Evolution
14 Cultural Algorithms
15 Coevolution
Part IV COMPUTATIONAL SWARM INTELLIGENCE
16 Particle Swarm Optimization
17 Ant Algorithms
Part V ARTIFICIAL IMMUNE SYSTEMS
18 Natural Immune System
19 Artificial Immune Models
Part VI FUZZY SYSTEMS
20 Fuzzy Sets
21 Fuzzy Logic and Reasoning
22 Fuzzy Controllers
23 Rough Sets
24 FINAL REMARKS
References
A Optimization Theory