土地适宜性评价的模糊神经网络模型

Application of Fuzzy Neural Networks to Land Suitability Evaluation

  • 摘要: 基于神经网络来构造模糊系统,建立了土地适宜性评价的模糊神经网络模型;根据神经网络误差反向修正的原理,设计和推导了该模型的学习算法。实验结果表明,该模型应用于土地适宜性评价具有高效、客观、准确等优点。

     

    Abstract: This paper proposes a fuzzy-neural model applied to land suitability evaluation. There are some intractable problems in applying fuzzy system to land suitability evaluation. For example, the membership functions and rules of fuzzy evaluation system have no self-adjusting ability. Sometime the system even has too many rules to act when it is a multi-input system. In this paper, the model of fuzzy neural network is designed for land suitability evaluation. This model is the result of mixing fuzzy system and artificial neural network.

     

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