Record number :
655782
Title of article :
Design and analysis of experiments in ANFIS modeling for stock price prediction
Author/Authors :
عليزاده ، ميثم نويسنده Alizadeh, Meysam , قره خاني، محسن نويسنده Gharakhani, Mohsen , فتوحي، الناز نويسنده Fotoohi, Elnaz , Rada، Roy نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی 4 سال 2011
Pages :
10
From page :
409
To page :
418
Abstract :
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.
Journal title :
International Journal of Industrial Engineering Computations
Journal title :
International Journal of Industrial Engineering Computations
Serial Year :
2011
Link To Document :
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