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FES cycling is a safe and easy way for the rehabilitation of spinal cord injury (SCI) patients. In order to design an control system for FES cycling, this paper presents a control strategy of the cycling induced by FES. The control system is developed based on artificial neural networks and consists of two layers: the outer layer controls the FES cycling model dynamics and generates desired torque;...
Pulse Coupled Neural Networks has the essential differences with the traditional artificial neural network in simulating biological visual, so PCNN is widely used in image processing fields. In PCNN model, In image processing, we often use the information entropy as tools to evaluate the effect of image processing, namely the greater the value of information entropy the better the image. The cycle...
Aiming at the character that the hidden layer wavelet function of wavelet neural network can adjust scale factor and shift factor to affect the outputs of neural network, the least disturbance algorithm adding scale factor and shift factor was proposed. The dynamic learning ratio can be calculated to minimize the scale factor and shift factor of wavelet function and the variation of net weights, and...
Data fusion based on feed-forward natural network can get the goal of minimum error, as well as reduce redundant data to transmit and save energy consumption. BP neutral network is considered as one of the most mature algorithm, but the traditional BP algorithm converges slowly and easy traps in a local minimum value, so new improved BP algorithm named algebraic algorithm is put forward. The algebraic...
Based on credibility theory, a new class of two-stage minimum risk location-allocation model is first proposed. Then we deal with the approximation of the location and allocation problem after that, a hybrid algorithm, which integrates the approximation approach, neural network and simulated annealing, is designed to solve the proposed location-allocation problem, and a numerical example is provided...
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