Choosing a training method is very important when using neural network to obtain the model and the inverse model of the nonlinear object.
在使用神经网络完成非线性对象的模型和逆模型时，选择的训练方法很重要。
Based on the property of the system inverse model, an integral approach to nonlinear compensation of temperature measuring system with thermistor based on neural network is presented.
从系统逆模型补偿出发，基于神经网络提出一种更加完备的热敏电阻测温系统非线性校正方法。
A direct inverse model controller of fuzzy neural network with changeable structure based on t s inference is presented in this paper and it is used to the motion control of mobile robot.
本文提出一种基于T -S模型的变结构模糊神经网络直接逆模型控制器，并将其应用于移动机器人的运动控制中。
Based on the model parameter identification theory in inverse problem, a neural network model for constitutive law of clay under multiple stress paths is set up through artificial neural network.
基于反问题中的模型参数辩识理论，通过人工神经网络，建立了考虑应力路径影响的粘土的神经网络本构模型。
In the algorithm, the radial-basis function neural network (RBFNN) is utilized as forward model, and the IGLSA is used to solve the optimization problem in the inverse problem.
该算法中，径向基函数神经网络(RBFNN)用作前向模型，IGLSA用于求解逆问题中的优化问题。
In this paper, a neural network internal model control scheme was studied, which was based on the design of inverse system.
本文研究了基于逆系统方法的神经网络内模控制。
Then the neural network based inverse model of the inverted pendulum is trained.
然后，以这些数据为基础训练倒立摆的神经网络逆模型；
The system identifier based on RBF neural network which applies nearest neighbor clustering algorithm realizes the identification of the inverse dynamic system model.
辨识器采用RBF神经网络结构和最近邻聚类算法，实现了对系统逆动力学模型的动态辨识。
A forward model and an inverse model of a MR damper were established by using BP neural network.
采用BP神经网络，建立了磁流变阻尼器的正向模型和逆向模型。
An inverse model of the sensor is obtained based on neural network trained by the sensor's output and the actual sensed ice thickness.
以传感器的双光路输出信号及实际冰厚值训练神经网络，建立了传感器的逆向模型。
An inverse model of the sensor is obtained based on neural network trained by the sensor's output and the actual sensed ice thickness.
以传感器的双光路输出信号及实际冰厚值训练神经网络，建立了传感器的逆向模型。
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