Published June 1, 2021 | Version v1
Journal article

Hybrid binary quantization and BP network on action mechanism

  • 1. Fuzhou Medical College of Nanchang University, Fuzhou Jiangxi China 344000 (China)
  • 2. Shandong Anran Nanometer Industry Development Co., Ltd, Weihai Shandong China 264200 (China)

Description

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%. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/1941/1/012085

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
1941
Journal Issue
1
Journal Page Range
[7 p.]
ISSN
1742-6596

Conference

Title
3. International Conference on Applied Machine Learning and Data Science
Acronym
ICAMLDS 2021
Dates
14-16 May 2021
Place
Chengdu (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53083682
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CLASSIFICATION; DATA PROCESSING; NEURAL NETWORKS; QUANTIZATION
Descriptors DEC
PROCESSING