Affiliations: College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
Correspondence:
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Corresponding author. Shi Ruifeng, College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China, E-mail: shirf2020@126.com.
Abstract: Due to the explosive increase of data scale, the traditional database management technology can no longer satisfy and analyze these data. Data acquisition technology is a tool that can process data effectively. The research of data acquisition has produced many new concepts and methods, which enrich and improve the data acquisition technology and establish the theoretical system. The relevant extraction criteria are an important branch of data extraction and one of the most important research fields. The use of genetic algorithms to mine related standards has been widely used, but traditional genetic algorithms are easy to be used. Therefore, under the best conditions, the application of better genetic algorithm to mine the relevant standards is a key problem to be dealt with in this paper.
Keywords: Artificial intelligence, improved genetic algorithm, genetic BP neural
network, data mining
