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In this paper, we aim to provide an overall perspective to the various expressions and approaches regarding probabilistic fuzzy systems. We begin with providing an introduction to the different kinds of uncertainties and associated tools that address them. A general description about the principle of modelling in stochastic environments is then represented. Two different expressions on probabilistic...
The epsilon-SVR has two limitations. Firstly, the tube radius (epsilon) or noise rate along the y-axis must be already specified. Secondly, this method is suitable for function estimation according to training data in which noise is independent of input x (is constant). To resolving these limitations, in approaches like v-SVIRN, the tube radius or the radius of estimated interval function which can...
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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