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This paper presents TSK interval type-2 fuzzy neural network (TSK IT2FNN)and its learning algorithm for chaotic time series prediction. First, The structure of TSK IT2FNN is decided using the hierarchical fuzzy clustering algorithm. Then its parameters of the precondition membership function and consequence weight are optimized using the gradient descent algorithm. Finally the effectiveness of IT2FNN...
In this paper, a hybrid learning algorithm which automatically trains the TSK-Type fuzzy neural network is proposed. It consists of two stages: structure identification and parameter optimization. 1) structure identification stage (the construction of fuzzy if-then rules base) comprises the mean shift clustering (MSC) and the genetic algorithm (GA). 2) parameter optimization stage is based on the...
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