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.
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页码：379 / 400
页数：22
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