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Short-term electricity load forecasting using a mapreduce-based elman networks with coarse-grained parallel genetic optimization 会议论文
Dali, China, December 6, 2019 - December 8, 2019
作者:  Bao, Guangqing;  Liu, Fuchao;  He, Xin;  Zhang, Gang
收藏  |  浏览/下载：1/0  |  提交时间：2020/11/15
The power consumption model of chiller with elman neural networks for on-line prediction and control 会议论文
International Conference on Smart City and Intelligent Building, ICSCIB 2018, Hefei, China, 2018-09-15
作者:  Jia, Zhiyang;  Zhao, Tianyi
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02
The optimal design of wheeled robot tracking system 会议论文
Chengdu, China, October 14, 2016 - October 17, 2016
作者:  Meng, Wang;  Jin, Wuyin
收藏  |  浏览/下载：1/0  |  提交时间：2020/11/15
Short-Term Wind Power Prediction Based on Principal Compoent Analysis and Elman Artificial Neural Networks 会议论文
4th International Conference on Information Science and Control Engineering (ICISCE), JUL 21-23, 2017
作者:  Hu, Shuang;  Li, Ke-Jun
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31
A Combined Model Based on Neural Networks, LSSVM and Weight Coefficients Optimization for Short-Term Electric Load Forecasting 会议论文
17th International Conference on Web-Age Information Management (WAIM), Nanchang, PEOPLES R CHINA, JUN 03-05, 2016
作者:  Li, CH;  He, ZS;  Wang, YC
收藏  |  浏览/下载：3/0  |  提交时间：2017/05/11
Using a combined method to forecasting electricity demand 会议论文
3rd International Conference on Mechatronics and Control Engineering, ICMCE 2014, Zhuhai, China, August 27, 2014 - August 28, 2014
作者:  Gui, Xiang Quan;  Gui, Xiang Quan;  Li, Li;  Xie, Peng Shou;  Cao, Jie
收藏  |  浏览/下载：3/0  |  提交时间：2017/01/20
Study on Elman neural networks algorithms based on factor analysis 会议论文
2013 International Conference on Sensors, Mechatronics and Automation, ICSMA 2013, 2013-12-24
作者:  Jing, Shao Xue[1];  Jia, Wei Kuan[2]
收藏  |  浏览/下载：1/0  |  提交时间：2019/12/24
Using a combined method to forecasting electricity demand 会议论文
Zhuhai, China, August 27, 2014 - August 28, 2014
作者:  Gui, Xiang Quan;  Gui, Xiang Quan;  Li, Li;  Xie, Peng Shou;  Cao, Jie
收藏  |  浏览/下载：29/0  |  提交时间：2020/11/15
Combined forecasting for short-term output power of wind farm 会议论文
Shanghai, China, October 21, 2011 - October 23, 2011
作者:  Wang, Xiaolan;  Chen, Qiancheng
收藏  |  浏览/下载：6/0  |  提交时间：2020/11/15
Research on the identification for a nonlinear system (EI CONFERENCE) 会议论文
International Conference on Optical, Electronic Materials and Applications 2011, OEMA 2011, March 4, 2011 - March 6, 2011, Chongqing, China
Lv S.; Liu J.; Jia P.
收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25
The characteristic of the drift error of inertial platform is a high-order nonlinear dynamic system  using the neural networks' abilities of universal approximation of differentiable trajectory and capturing system dynamic information  this paper presents the drift error identifying project of inertial platform based on Elman networks structure. First  the drift error model of inertial platform is established  after selecting the input and output for network  momentum and alterable speed algorithm is used to speed up the network convergence. On the basis of the algorithm  the extended nonlinear node function in the hidden network does not only improve the learning speed of network  but also satisfies the need of accuracy on system identification. Through the drift error data measured on inertial platform  the training result shows that the scheme achieves satisfied identification results. (2011) Trans Tech Publications.  

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