Operations Research Transactions ›› 2011, Vol. 15 ›› Issue (4): 45-54.
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WANG Sheng-Gang, ZHANG Ying, XU Ying-Tao
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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
WANG Sheng-Gang, ZHANG Ying, XU Ying-Tao. The BP Neural Network Hydrological Forecasting Algorithm Based on Tunneling Function Method[J]. Operations Research Transactions, 2011, 15(4): 45-54.
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