Design and analysis of experiments in ANFIS modeling for stock price prediction
International Journal of Industrial Engineering Computations(2011)
摘要
At the computational point of view, a fuzzy system has a layered structure, similar to an artificial neural network (ANN) of the radial basis function type. ANN learning algorithms can be employed for optimization of parameters in a fuzzy system. This neuro-fuzzy modeling approach has preference to explain solutions over completely black-box models, such as ANN. In this paper, we implement the design of experiment (DOE) technique to identify the significant parameters in the design of adaptive neuro-fuzzy inference systems (ANFIS) for stock price prediction.
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关键词
stock,experiment,adaptive,design of experiment,anfis,systems,prediction,system,design,neuro,parameters,fuzzy,black
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