基于计算智能的土地适宜性评价模型
Model of Land Suitability Evaluation Based on Computational Intelligence
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摘要: 将计算智能理论引入土地评价领域,构建了一个全新的土地适宜性评价模型。首先基于模糊逻辑和人工神经网络构造了一个模糊神经网络模型,然后采用改进的遗传算法进行训练,能够快速收敛到最优解,对初始的规则库进行修正,形成了一个自学习、自适应的评价系统。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.