Model of Land Suitability Evaluation Based on Computational Intelligence
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Abstract
A novel model of land suitability evaluation is built based on computational intelligence (CI;. A fuzzy neural network (FNN; is constructed by the 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 efficient.
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