函数链神经网络在电容水分传感器非线性校正中的应用OA
The Application of Functional Link Neural Network in Capacitive Moisture Sensor
首先介绍了解决电容水分传感器非线性函数链神经网络原理和建模方法,并以玉米水分测量为例进行仿真试验,从而证明了该非线性校正方法的可行性和有效性.
Firstly, neural network theory and modeling methods for solving capacitance moisture sensor nonlinear function chain were introduced, and taking soybean moisture measurement as the example to carry out simulation experiment, which demonstrated that the method of nonlinear rectification was feasible and valid.
刘海波
河北工程技术高等专科学校,河北沧州061001
农业科技
电容水分传感器FLANN非线性
Capacitive moisture sensor FLANN Nonlinear
《安徽农业科学》 2012 (1)
145-146,2
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