欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
本文介绍了一种全局随机优化算法一粒子群优化算法,并将其用于BP网络模型,对模型参数进行优化来提高模型的收敛速度和精度，最后利用参数优化前后的BP模型进行径流预测,结果表明模型收敛速度和精度明显提高。
英文摘要：
Particle swarm optimizer（PSO） algorithm with the global stochastic optimization technique is introduced and applied to BP neural networks to optimize the parameters of BP neural networks so as to improve the convergence speed and precision of BP neural networks. The runoff predicting results are obtained from two different kinds of BP neural networks, it is shown that convergence speed and precision of BP neural networks are improved.
同期刊论文项目
同项目期刊论文
Using fuzzy theory and information entropy for water quality assessment in Three Gorges region, Chin
Design of PID parameters self-tuning fuzzy control system and its application in hydroelectric syste
Research on spot power market equilibrium model considering the electric power network characteristi
位置：