Application of BP Neural Network Based on Factor Analysis on Rational Synthesis of Microporous Materials

• 1、State Key Laboratory of Inorganic Synthesis and Preparative Chemistry, College of Chemistry，Jilin University, ChangChun (130012)

Abstract：Data mining can discover valuable information from a large amount of data. As a useful data mining technique, BP neural network is an important tool in the area of chemistry. This work presents a new mode of data mining process in which the pretreatment by factor analysis was used to reduce the redundant attributes and then the BP neural network built with these factors as input was used to predict the type of the products. The application of such method on the analysis of the synthesis data of aluminiumphosphates shows good predicting capacity. This work will further assist in rational synthesis of microporous materials.

Keywords： Data mining BP neural network Factor analysis Microporous materials Rational synthesis