径流预报的模糊神经网络方法

A Fuzzy Neural Network Method in Runoff Forecast

径流预报是水资源系统优化调度的重要因素。探讨了神经网络及模糊模式识别的部分理论,在通常的神经网络预报模型及模糊模式识别预报模型的基础上提出了一种模糊模式识别神经网络预报模型及其相应算法,加强了系统的知识表达能力,使预报结果更为可信。通过实例计算,验证了模型的可行性以及所给算法对模型训练的有效性,从而为径流预报提供了一种新方法。

Runoff forecast is an important part to use the water reasonably. By learning artificial neural network and fuzzy mathematic, this paper will give a fuzzy mould recognition artificial neural network forecast model and the algorithm. So, the result will be more believed. At last, by calculating a real example, the feasibility of the made model and the validity of the algorithm are verified. A new way worth of exploring for runoff forecast is provided.