Research on Land Suitability Evaluation Based on Genetic Fuzzy Neural Networks

摘要：

In this paper, a novel model of land suitability evaluation is built based on Genetic Fuzzy Neural Networks. A kind of Fuzzy Neural Network (FNN) is constructed by integration of fuzzy logic and Artificial Neural Network (ANN). The structure and process of this network is clear. Fuzzy rules (knowledge) are expressed in the model explicitly, and can be self-adjusted by learning from samples. Genetic Algorithm (GA) is employed as the learning algorithm to train the network, and makes the training of the model is efficient. So this model is a self-learning and self-adaptive system with a rule set revised by training.

关键词： Land Suitability Evaluation Computational Intelligence Fuzzy Neural Network Genetic Algorithm

作者: Yaolin Liu Limin Jiao

作者单位: with the School of Resource and Environment Science and Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University.129 Luoyu Road, Wuhan, 430079,China

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）