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/10.1088/1742-6596/1941/1/012085Additional details
Identifiers
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