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《Modern Electronics Technique》 2018-14
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Design of mining algorithm based on improved neural network

HUANG Wenfeng;Henan Provincial Institute of Scientific & Technical Information;  
In allusion to the shortcomings existing in the traditional data mining algorithm for its complex structure,long time consumption,error easily appearing in data analysis process,and difficulty in accurate result expression of data calculation results,an application method of combining neural network in data mining is put forward. As the neural network has the advantages of strong ability to withstand noise data,and low error rate, improvement design of the data mining algorithm by combining with the neural network system can greatly improve the data accuracy. This method has the advantages of simple structure,clear expression,high precision and so on. A rigorous experiment analysis for the feasibility of the data mining algorithm based on neural network is performed on the basis of the recorded experimental data. The experimental results show that the mining algorithm based on neural network has higher accuracy and shorter time consumption than the traditional data mining algorithm,which can confirm that the data mining algorithm based on neural network is more practical.
【Fund】: 2017年河南省科技厅科技攻关项目(172102210140)~~
【CateGory Index】: TP183;TP311.13
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