The Open Automation and Control Systems Journal

2015, 7 : 2268-2272
Published online 2015 November 11. DOI: 10.2174/1874444301507012268
Publisher ID: TOAUTOCJ-7-2268

Data Mining Model Based on the Improved BP Neural Network Algorithm

Shuolei Lin , Siriguleng Zheng and Shumei Peng
Beijing Polytechnic College, Basic Education Department, Beijing 100042, China.

ABSTRACT

A data mining algorithm based on fuzzy FKM algorithm and BP was proposed to solve the problem of long training time and low efficiency when the sample data contains the attributes unrelated to target data. The attributes of input data was clustered by using FKM clustering algorithm, and the attributes with weak correlation to target data were abandoned, and then there remain the attributes with strong correlation to target data, which reduce the training samples of neural network, and improving the training efficiency of the network. Tests on forecasting the content of Hemoglobin in the body of children show that the proposed algorithm is very practicable and reliable.

Keywords:

FKM, BP, data mining, clustering.