Control planning of water pollution using GA -BP model
Lixia Jia, Changjun Zhu · 2009
By combining GA (Genetic Algorithm), which has the advantage of global op timization, and RBF , which has the advantage of local op timization, the calculation accuracy and convergence rate of the traditional BP neural network are improved. So the hybrid algorithm based on genetic algorithm and BP algorithm, not only retains the original merits of the neural network, but also overcomes these shortcomings, and establishes water quality evaluation model. Xinyang Nanwan reservoir as an example to evaluate, the experimental results show that the hybrid algorithm model has evaluation of high precision, and can be applied to water quality evaluation. The simulation result shows this method has high convergent speed and easily oriented global optimization and is therefore of great p ractical value.