摘要
指出了模糊优选BP神经网络模型的缺点,在模糊优选BP神经网络模型的基础上,引入加速遗传算法,提出融入遗传算法的模糊优选神经网络智能决策模型。并将其应用于某流域蓄滞洪区优选决策逆命题的目标权重计算,结果表明,该模型能够明显加快网络的收敛速度,改善网络的全局寻优能力,集成了模糊优选BP神经网络和遗传算法的优点。
Based on the analysis of BP neural network model of fuzzy optimization, this paper pointed out weakness of BP neural network model of fuzzy optimization, introduced genetic algorithms, and established neural network model of fuzzy optimization mixing with genetic algorithms. By the example of storagedetention flood area of Songhua River basin project optimization, a conclusion is drawn that this model can obviously accelerate the convergence velocity, enhance the global searching ability, and also integrate the virtue of BP neural network model of fuzzy optimization and genetic algorithms. The intelligent decision model has further developed BP neural network model of fuzzy optimization.
出处
《水电能源科学》
2003年第3期38-41,共4页
Water Resources and Power
