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Due to the difficulty of determining node number of hidden layers and center, slow learning speed and weaken generalization ability of RBF neural network when input data is generous and complex. A new method based on combined clustering is presented here to determine node number of hidden layer and centers of RBF neural network self-adaptively. In this paper, subtractive clustering is used to cluster...
In this paper, we propose a fast C-means based training of Fuzzy Hopfield neural network and apply it to image segmentation. According to the other ways which usually take a long time, we define a fast method for image segmentation. We present a new objective function, and its minimization by Lyapunov energy function which is based on two dimensional fuzzy Hopfield neural network. This objective function...
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