The Open Automation and Control Systems Journal

2015, 7 : 1930-1935
Published online 2015 October 20. DOI: 10.2174/1874444301507011930
Publisher ID: TOAUTOCJ-7-1930

Data Mining Algorithm Based on Fuzzy Neural Network

Wu Jianhui , Su Yu , Shao Hongbo , Yin Sufeng , Xue Ling , Hu Bo and Wang Guoli
Hebei Province Key Laboratory of Occupational Health and safety for Coal Industry, Division of Epidemiology and Health Statistics, School of Public Health, Hebei United University, Tang Shan, China.

ABSTRACT

In this paper, the fuzzy neural network is selected as the algorithm for data mining (DM), introducing the artificial neural network into the fuzzy logic by treating it as a computing tool, it is a networklized description form by using the artificial neural network as the membership function in a fuzzy system, fuzzy rules and extension principle. The fuzzy neural network (FNN) is selected as the algorithm for data mining. By combining the fuzzy theory with neural network, using the strong nonlinear processing ability of FNN, finding the classification after producing a fuzzy partition neural network training, using thresholds and extracting rules, finally, the validity of this algorithm is verified, comparing with other fuzzy neural network, the neural network is faster learning speed and smaller in size. It owns has a good application prospect.

Keywords:

Data mining , error back propagation, fuzzy neural network, fuzzy system, neural network.