Artificial Intelligence techniques: An introduction to their use for modelling environmental systems

被引：156

作者：

Chen, Serena H. ^{[1
]}

Jakeman, Anthony J. ^{[1
]}

Norton, John P. ^{[1
]}

机构：

[1] Australian Natl Univ, Fenner Sch Environm & Soc, Integrated Catchment Assessment & Management iCAM, Canberra, ACT 0200, Australia

来源：

MATHEMATICS AND COMPUTERS IN SIMULATION | 2008年 / 78卷 / 2-3期

关键词：

case-based reasoning; cellular automata; multi-agent; environmental modelling;

D O I：

10.1016/j.matcom.2008.01.028

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Knowledge-based or Artificial Intelligence techniques are used increasingly as alternatives to more classical techniques to model environmental systems. We review some of them and their environmental applicability, with examples and a reference list. The techniques covered are case-based reasoning, rule-based systems, artificial neural networks, fuzzy models, genetic algorithms, cellular automata, multi-agent systems, swarm intelligence, reinforcement learning and hybrid systems. (C) 2008 IMACS. Published by Elsevier B.V. All rights reserved.

引用

页码：379 / 400

页数：22

共 181 条

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