Open AccessHybrid binary quantization and BP network on action mechanism
Author(s) -
Cong Jiang,
Zhiyang Shangguan,
Huan He,
Jinglou Zhang,
Jing Ping,
Naiwei Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1941/1/012085
Subject(s) - artificial neural network , quantization (signal processing) , computer science , binary number , artificial intelligence , nonlinear system , time delay neural network , pattern recognition (psychology) , algorithm , mathematics , arithmetic , physics , quantum mechanics
BP neural network is a kind of artificial neural network, which is mainly used in function approximation, model recognition, classification and data compression. In the case of limited analysis ability of traditional research methods, BP neural network can overcome the problems of nonlinear relationship. In this paper, the improved BP neural network was used to predict the properties. The data processing of the properties, tastes and was carried out by binary quantization. The prediction results’ correct rate was 87.5%.