摘要
文中采用了模拟退火算法对Elman网络的前馈和反馈权值进行优化,避免了其陷入局部最小值,在网络的训练过程中无需人为的反复调整反馈权植,并将其应用于建立热工过程的非线性模型。仿真研究表明,无需复杂的网络结构,采用SA算法的Elman网络模型能够很好的适配热工过程对象,并有较好的泛化能力。
The weight values of both feedforward and feedback connections of improved Elman networks were obtained through simulated annealing algorithm, which can avoid the network trapped into local minimal points, and the connect values of the feedback connections doesn't need modified manually. The nonlinear model of thermal processes is established with the Elman networks, simulation study proves that the Elman network model by the use of simulated annealing algorithm, does not need complicated architecture, make a good match for the thermal processes plant, and has good generalization ability.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2005年第11期90-94,共5页
Proceedings of the CSEE
