基于多群竞争PSO-RBFNN的乙烯裂解深度智能优化控制
PSO-RBFNN: A PSO-Based Clustering Approach for RBFNN Design to Classify Disease DataParticle Swarm OptimizationClusteringDisease classificationRadial Basis Function Neural NetworksOptimal hidden layer neuronsThe Radial Basis Function Neural Networks (RBFNNs) are non-iterative in nature so they are ...
FOPID controller optimization based on SIWPSO-RBFNN algorithm for fractional-order time delay systemsFractional order proportional integral derivative (FOPID)... Chen,Guan-Yan,Hsu,... - 《Soft Computing A Fusion of Foundations Methodologies & Applications》 被引量: 0发表: 2017年 A Two-Layer Cont...
(PSO-RBFNN)算法拟合样品退化轨迹,预测伪寿命值的方法.首先,通过改进PSO算法对RBFNN进行训练优化;然后,使用部分测量数据对训练后的RBFNN进行准确度测试;最后,通过RBFNN预测样品退化轨迹,估计出伪寿命值.使用某型电连接器的加速退化试验数据对提出的方法进行了试验验证,成功对该型电连接器进行了寿命预测,得出平均寿命为...
为了建立有效预测3C钢在海水环境中的腐蚀速率模型,提出了一种基于粒子群优化(PSO)的径向基神经网络(RBFNN)方法,通过设计特殊的适应度函数,采用PSO优化算法同时实现对RBFNN模型参数(中心值,扩展系数,权值)的调整和径向基函数(隐含层节点)个数的优选.因此,所提出的PSO-RBFNN方法能够以较高的精度和速度自适应地构建预测...
Traffic flow data are un-periodical,nonlinear and stochastic,the practicability and accuracy are affected due to its drawbacks of falling into local optimization and low convergence rate.Thus,RBF neural network optimized by particle swarm optimization algorithm (PSO-RBFNN) is proposed to predict traffic...
The RBFNN controller is constructed, and its parameters are used as the particle swarm particle optimisation parameters, and the optimal values of the controller parameters are obtained by the PSO training method, which overcomes the influence of external noise and achieves the synchronisation of the ...
Section 3 presents the use of PSO-RBFNNs in the PID-based drive train and pitch controller of a large wind turbine generator. The optimal operating point values are then identified in the center of the stability region of the PID controller. Section 4 details the simulation results (i.e.,...
本发明涉及一种基于PSO和RBFNN的隧道交通照明系统智能控制方法,包括以下步骤:先根据隧道的照明条件,由RBFNN确定照明系数;再将照明系数输入PSO中;然后对PSO中粒子群的各个粒子的位置和速度进行初始化;再根据适应度函数对每个粒子的适应度值进行计算,确定粒子的历史最优解;进而根据历史最优解的粒子迭代每个粒子的速度以及...
To explain how to use the SIWPSO-RBFNN method, this paper presents two cases describing how the proposed algorithm can be useful in FOPID-type controllers with two fractional-order time-delay systems. Furthermore, the proposed algorithm can be used in two desired procedures if the system ...