模糊神经网络在水文水资源应用中的研究进展

Development of Fuzzy Neural Network in Application of Hydrology and Water Resources

模糊神经网络结合了模糊逻辑的推理能力及神经网络的自学习能力,使其具备强大的结构式知识表达能力、自身参数调整优化的能力和较好的预报效果。同时在介绍模糊神经网络模型的特点、结构基础上,着重介绍了模糊神经网络在水文水资源领域的研究现状,并指出了其在理论及应用中存在的问题。

The paper introduces Fuzzy Neural Network, which combines the rational ability of Fuzzy logic with the self-educated ability of Neural Network, and possesses the great expressive power of structural knowledge and the poWer adjusting own parameter and the better predictive effect. Simultaneously on the premise of introducing its structure and characteristics, the article mainly introduces the study actuality of Fuzzy Neural Network in the hydrology and water resource, and puts forward some problem of its theory and application.