Neural Networks-Based Nonlinear Identification of Eddy Current Sensors
The sensor identification is an important research field, and the nonlinear identification of the eddy current sensor is a key problem in the practical application of the eddy current sensor. To aim at the problem, a feasible project of nonlinear identification of the eddy current sensor is advanced through applying the modeling method of artificial neural networks At first, its design, modeling and implement technology based on back-propagation neural networks are presented. Then the data experiments were processed with MATLAB software. Finally the measure precision of the eddy current sensor was enhanced.
Guoqiang Song Yudong Tian
Department of Electrical Engineering Shanghai Dian Ji University Shanghai, 200240, P. R. China
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）