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A recurrent wavelet-based cerebellar model articulation controller (RWCMAC) neural network used for solving the prediction and identification problem is proposed in this paper. The proposed RWCMAC has superior capability to the conventional cerebellar model articulation controller (CMAC) neural network in efficient learning mechanism, guaranteed system stability and dynamic response. The recurrent...
In this study, an adaptive output recurrent neural network (AORNN) controller is employed to control a practical overhead crane system with multi objective control problems. Trolley position error and swing angle error are used instead of a complex dynamic model to design the controller. The gradient descent method is adopted to adjust the AORNN parameters online. Moreover, an analytical method based...
The precision of machine vision calibration is affected by those factors such as the loss of depth information, distortion of camera lens, and errors caused by image processing. In this paper machine vision system is developed by means of BP neural network with self- learning. There are 4 inputs, which are the image coordinates of a match point in left and right camera, and 3 outputs in the network...
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