BP Algorithm of ANN Applied in Temperature Control Tests with MATLAB
This paper predicts the temperature of optical transmitter and receiver through the BP algorithm based on MATLAB emulation platform. The given inner temperature is affected by ambient temperature, heating power, air pressure, wrapping mode, whose stabilization needs corresponding adjustment of these conditions. And the BP network structure with 4-8-5-1 is adopted, the Tansig function is applied in the implication layer, at the same time, the Purelin function is applied in the output layer. At last, the finite samples are trained and tested through the Matlab. Contrast with the PID algorithm, the simulation result shows that there is a higher precision and faster convergence in the BP algorithm. In the meantime, the generalization ability of the BP network gives inner temperature when there are 4 inputs, which reflects the basic feature of the whole system.
ANN BP algorithm temperature control
Yao Lei Zhijun Xu Wenbo Tang
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Graduate Scho Changchun University of Science and Technology Graduate School of CUST Changchun, China
国际会议
重庆
英文
148-151
2011-01-21(万方平台首次上网日期,不代表论文的发表时间)