摘要
提出了一种利用FCMAC（Fuzzy Cerebellar Model Articulation Controller）神经网络进行优化的方法。该方法由学习过程和优化过程两部分组成。对于许多没有模型可参考的实际过程，使用该方法只需要传感器的观测信息就能进行优化。仿真结果证明了该方法的有效性与优越性，进而提出了在实际应用中进行优化的一种方案。
In this paper, a kind of optimization method based on FCMAC (Fuzzy Cerebellar Model Arithmetic Controller) neural network is proposed. This method is composed of learning procedure and optimization procedure. To lots of practical applications without process models, only observation of sensor information is needed. The simulation results prove the efficacy and superiority of this method, thereby offering a new frame for implementing optimization schema in practical applications.
出处
《计算机工程》
CAS
CSCD
北大核心
2003年第13期16-18,共3页
Computer Engineering
基金
国防预研基金资助项目
关键词
FCMAC
神经网络
学习过程
优化过程
FCMAC
Neural network
Learning procedure
Optimization procedure
