Title :
Prediction Filter Design for Electrostatic Detection Based on Linear Neural Network
Author :
Xu Lixin ; Zhu Xinkai
Author_Institution :
Sch. of Mechatronic Eng., Beijing Inst. of Technol., China
Abstract :
Simulation results show that the neural network output can approximate the expected signal correctly after weight training, the prediction filter can provide an effective way to compensate the delay of circuits and improve the reality of the target recognition system.
Keywords :
electrostatics; filtering theory; neural nets; prediction theory; electrostatic detection; linear neural network; prediction filter design; signal prediction; target recognition; Circuit simulation; Delay effects; Design engineering; Electrostatics; Mechatronics; Neural networks; Nonlinear filters; Predictive models; Signal design; Target recognition; Electrostatic detection; Linear neural network; Signal prediction;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280947
