TY - JOUR
T1 - Artificial Intelligence techniques
T2 - An introduction to their use for modelling environmental systems
AU - Chen, Serena H.
AU - Jakeman, Anthony J.
AU - Norton, John P.
PY - 2008/7
Y1 - 2008/7
N2 - 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.
AB - 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.
KW - Case-based reasoning
KW - Cellular automata
KW - Environmental modelling
KW - Multi-agent
UR - http://www.scopus.com/inward/record.url?scp=43449100655&partnerID=8YFLogxK
U2 - 10.1016/j.matcom.2008.01.028
DO - 10.1016/j.matcom.2008.01.028
M3 - Article
SN - 0378-4754
VL - 78
SP - 379
EP - 400
JO - Mathematics and Computers in Simulation
JF - Mathematics and Computers in Simulation
IS - 2-3
ER -