Open Access
| Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
|---|---|---|
| Article Number | 03038 | |
| Number of page(s) | 5 | |
| Section | Algorithm Study and Mathematical Application | |
| DOI | https://doi.org/10.1051/matecconf/201823203038 | |
| Published online | 19 November 2018 | |
- Xu Yuanzhe, Wang Letian, Liu Xuedong, et al. Design of power cable joint temperature measurement system [J]. high voltage technology, 12 (2009):2977-2982. [Google Scholar]
- Wang Pingping, Sun Fengjie, Cui Wei Xin. Research on power cable joint temperature monitoring system [J]. power system communication, 2 (2006):59-61,74 [Google Scholar]
- Rumelhart D E,Hinton G E,William R J.Learning representation by back-propagation errors[J].Nature,(1986),323:533-536. [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Li Huachang, Xie Shulan, Yi Zhong Sheng. Principle and application of genetic algorithm [J]. mining, metallurgy, 1 (2005):87-90. [Google Scholar]
- Wen Zheng. Proficient in MATLAB intelligent algorithm [M]. Beijing: Tsinghua University press.(2015):19-105. [Google Scholar]
- Mohammcd E,Sudhakar K V. ANN Back-propagation Prediction Model for Fracture Toughness in Micro Alloy Steel[J]. International Journal of Fatigue, 9 (2002),24:1003-1010. [Google Scholar]
- An International Journal, 2(2009),36:7681.OZKAYA B,DEMIR A,BILGILI MS.Neural network prediction model for the methane fraction in biogas from field-scale landfill bioreactors[J].Environmental Modeling &Software, 6 (2007),22:815-822. [Google Scholar]
- Montana D J, Davis L. Training Feedforward Neural Networks Using Neural Networks and Genetic Algorithm[C]//Proc. of International Conference on Computing, Communications and Control Technologies. Austin, USA: [s.n.],(1989):762-767. [Google Scholar]
- Zheng Weiyan. Research and application of BP network optimization based on genetic algorithm [D]. Harbin: Harbin Engineering University,(2008). [Google Scholar]
- Coskun H, Diyar A. Comparison of direct and iterative artificial neural network forecast approaches in multi-peri-odic time series forecasting [J].Expert Systems with Applications: An International Journal, 2 (2009),36:76-81. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.