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运筹学学报 ›› 2011, Vol. 15 ›› Issue (4): 45-54.

• 运筹学 • 上一篇    下一篇

基于打洞函数法的BP神经网络水文预报方法

王胜刚, 张莹, 徐应涛   

  • 出版日期:2011-12-15 发布日期:2011-12-15

The BP Neural Network Hydrological Forecasting Algorithm Based on Tunneling Function Method

 WANG  Sheng-Gang, ZHANG  Ying, XU  Ying-Tao   

  • Online:2011-12-15 Published:2011-12-15

PDF

1102

被引次数

8

摘要： BP神经网络是目前水文预报中应用较为广泛的方法,但存在收敛速度慢、
易陷入局部最优的缺陷.由此提出了基于全局优化打洞函数法的水文预报方法,把打洞函数法和BP神经网络相结合,
利用打洞函数使BP算法跳出当前局部极小点,得到一个函数值更小的极小点,循环运算直至找到全局极小点.
实验表明该水文预报方法能够提高预报精度,显示了良好的适用性.

关键词: 非线性规划, 水文预报, 打洞函数,
BP神经网络

Abstract: BP neural network is  widely used in hydrological forecasting.
   Aiming at the handicaps in present methods such as slow convergence
  and easily getting into local optimization, this paper presents a novel hydrological forecasting
  method based on the tunneling function which is one of the effective deterministic methods.  The tunneling
   function method can find a lower minimizer by leaving the minimizer previously found. By repeating these
   processes, a global minimizer can be obtained at last. Experiments show the proposed method
  not only can obtain high accuracy in flood forecasting, but also has longer effective real-time.
  The hydrological forecasting
  method can be used in operational hydrological forecasting.

Key words: nonlinear programming, hydrological forecasting, tunneling function, BP neural network