机构

• 数学与系统科学研究院 [2]
• 自动化研究所 [2]
• 沈阳自动化研究所 [2]
• 深圳先进技术研究院 [1]
• 长春光学精密机械与物... [1]
• 测量与地球物理研究所 [1]
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采集方式

• OAI收割 [13]
• iSwitch采集 [1]

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• 期刊论文 [10]
• 会议论文 [3]
• 学位论文 [1]

发表日期

• 2023 [1]
• 2020 [3]
• 2018 [1]
• 2014 [1]
• 2013 [1]
• 2011 [3]
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学科主题

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浏览/检索结果: 共14条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 A Model of Honeybee Population Dynamics and Pollination Prediction 会议论文  OAI收割 Shenyang, PEOPLES R CHINA, 2023-02-25 作者:     |  收藏  |  浏览/下载：6/0  |  提交时间：2023/08/17 Honeybee Population  Differential Equation Model  Elman Neural Network  Sensitivity Analysis  Pollination Optimization Model   A decomposition-ensemble approach for tourism forecasting 期刊论文  OAI收割 ANNALS OF TOURISM RESEARCH, 2020, 卷号: 81, 页码: 16 作者:  Xie, Gang;  Qian, Yatong;  Wang, Shouyang   |  收藏  |  浏览/下载：10/0  |  提交时间：2020/06/30 Tourism demand  Complete ensemble empirical mode decomposition with adaptive noise  Data characteristic analysis  Time series forecasting   Short-Term Photovoltaic Power Prediction Modeling Based on AdaBoost Algorithm and Elman 会议论文  OAI收割 Virtual, Chengdu, China, December 25-27, 2020 作者:  Sun, Wenxuan;  Zhang T(张涛);  Tao, Ran;  Wang AN(王安娜)   |  收藏  |  浏览/下载：15/0  |  提交时间：2021/03/14 Photovoltaic power prediction  AdaBoost algorithm  Bat algorithm  Elman nerve-network   Identification of epilepsy from intracranial EEG signals by using different neural network models 期刊论文  OAI收割 Computational Biology and Chemistry, 2020, 页码: 107310 作者:  Gong C(龚晨);  Zhang XX(张肖雄);  Niu YY(牛云云)   |  收藏  |  浏览/下载：4/0  |  提交时间：2023/06/27 State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles 期刊论文  OAI收割 ENERGY, 2018 作者:  Taimoor Zahid;  Kun Xu;  Weimin Li;  Chenming Li;  Hongzhe Li   |  收藏  |  浏览/下载：17/0  |  提交时间：2019/01/31 amultiscalemodelingapproachincorporatingarimaandannsforfinancialmarketvolatilityforecasting 期刊论文  OAI收割 journalofsystemsscienceandcomplexity, 2014, 卷号: 27, 期号: 1, 页码: 225 作者:  Xiao Yi;  Xiao Jin;  Liu John;  Wang Shouyang   |  收藏  |  浏览/下载：8/0  |  提交时间：2020/01/10 Improving Neural Network Prediction Accuracy for PM10 Individual Air Quality Index Pollution Levels 期刊论文  OAI收割 ENVIRONMENTAL ENGINEERING SCIENCE, 2013, 卷号: 30, 期号: 12, 页码: 725-732 作者:  Feng, Qi;  Wu, Shengjun;  Du, Yun;  Xue, Huaiping;  Xiao, Fei   |  收藏  |  浏览/下载：83/0  |  提交时间：2018/03/15 construction site  fugitive dust  neural network  PM10  pollution   Research on the identification for a nonlinear system (EI CONFERENCE) 会议论文  OAI收割 International Conference on Optical, Electronic Materials and Applications 2011, OEMA 2011, March 4, 2011 - March 6, 2011, Chongqing, China 作者:  Liu J.;  Jia P.;  Liu J.;  Liu J. 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.   Artificial Neural Network Models for Daily PM(10) Air Pollution Index Prediction in the Urban Area of Wuhan, China 期刊论文  OAI收割 Environmental Engineering Science, 2011, 期号: 5, 页码: 357-363 Wu, Shengjun; Feng, Qi; Du, Yun; Li, Xiaodong 收藏  |  浏览/下载：24/0  |  提交时间：2012/04/11 基于改进Elman网络模型的软件可靠性预测 期刊论文  OAI收割 通信学报, 2011, 卷号: 32, 期号: 4, 页码: 86-93 程绪超; 陈新宇; 郭平   |  收藏  |  浏览/下载：14/0  |  提交时间：2011/10/10 软件可靠性预测  可信性  反馈神经网络  NSGA-II  多目标优化Computer software selection and evaluation  Forecasting  Multiobjective optimization  Network architecture  Neural networks