Hierarchical wavelet packet fuzzy inference system for pattern classification and system identification

作者：Sharifi A^*; Shoorehdeli M Aliyari; Teshnehlab M

来源：International Journal of Systems Science, 2013, 44(1): 109-126.

DOI：10.1080/00207721.2011.583998

• wavelet transform
• hierarchical fuzzy model
• gradient descent algorithm
• pattern classification
• system identification
• time-series prediction

This study presents a hierarchical Takagi-Sugeno-Kang type fuzzy system called hierarchical wavelet packet fuzzy inference system. In the proposed method, wavelet packet transform is applied on the input data to produce approximation and detail sub-bands of the input data and the output is used as the input vector of the proposed network. This network uses a hierarchical structure same as wavelet packet decomposition tree, in which adaptive network-based fuzzy inference system is used as sub-model. Also, gradient descent algorithm is chosen for training the parameters of antecedent and conclusion parts of the sub-models. In order to evaluate the capability of the proposed method, its applications in pattern classification, system identification and time-series prediction have been studied. The results show that the proposed method performs better than the other conventional models.

• 出版日期2013