摘要
详细介绍ＢＰ神经网络控制算法，运用模糊逻辑控制概念赋予隐层含义，并决定其节点数，同时用高斯核函数作为节点激励函数，进行了仿真研究。叙述了系统的硬件与软件构成，试验表明系统操作方便、安全可靠，控制效果好。
The control algorithm of BP neural network is described in detail. The implicit layer implication is assigned and the quantity of the nodes is decided by using fuzzy logical control concept. The simulation research is accomplished by using Gauss nuclear function as the energizing function of the nodes. The structures of hardware and software of the system are described. The tests show that the system features ease operation, safe, and reliable; and the control result is good.
出处
《自动化仪表》
CAS
北大核心
2000年第12期4-6,共3页
Process Automation Instrumentation
