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检索条件"主题词=Crisscross optimization algorithm"
18 条 记 录,以下是11-20 订阅
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Electricity price forecasting with high penetration of renewable energy using attention-based LSTM network trained by crisscross optimization
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ENERGY 2022年 第PartA期254卷
作者: Meng, Anbo Wang, Peng Zhai, Guangsong Zeng, Cong Chen, Shun Yang, Xiaoyi Yin, Hao Guangdong Univ Technol Sch Automat Guangzhou 510006 Peoples R China Univ Toronto Dept Management Toronto ON M1C 1A4 Canada
Accurate electricity price forecasts is the common concern of market participants. With the integration of high penetration of wind and solar energy resources into the power system, the renewable energy sources will h... 详细信息
来源: 评论
Hybrid Whale optimization based Bidirectional Gated Recurrent Unit with Pre-trained CNN model for Software Fault Detection
Hybrid Whale Optimization based Bidirectional Gated Recurren...
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2023 International Conference on Integrated Intelligence and Communication Systems, ICIICS 2023
作者: Bhardwaj, Arvind Kumar Sameena, H.S. Pareek, Piyush Kumar Bhujang, Raghavi K. Khan, Zabiha Srinivas, Chetana Capgemini HoustonTX United States Global Academy of Technology Dept of Cse Bengaluru India Nitte Meenakshi Institute of Technology Department of Artificial Intelligence and Machine Learning Bengaluru India Centre for Entrepreneurship Ms Ramaiah Institute of Management Bengaluru India Nitte Meenakshi Institute of Technology Dept. of Aiml Bengaluru India Pes University Department of Cse in Ai & Ml RR Campus Bengaluru India
The deep learning model (DL) S-ResNet-152 (Squeeze-based ResNet-152) is used to pull out the features. Then, a bidirectional gated auto network (Bi-GRU-AN) is used to predict software faults based on a mixed DL model.... 详细信息
来源: 评论
Prediction of Technical Indicators for Stock Markets using HPO-CCOA Based Machine Learning algorithm
Prediction of Technical Indicators for Stock Markets using H...
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2023 International Conference on Evolutionary algorithms and Soft Computing Techniques, EASCT 2023
作者: Rao, Sakshith S Kumar Pareek, Piyush Vishwanatha, C.R. Kumar Bhardwaj, Arvind Nitte Meenakshi Institute of Technology Department of Master of Computer Applications Bengaluru India Nitte Meenakshi Institute of Technology Department of Artificial Intelligence and Machine Learning Bengaluru India Capgemini Houston Texas United States
Predicting the Stock Market's behaviour has become an enormous requirement, making it one of the most active study fields. Stock market forecasting is notoriously difficult and calls for a deep dive into the facts... 详细信息
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Horizontal and vertical crossover of Harris hawk optimizer with Nelder-Mead simplex for parameter estimation of photovoltaic models
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ENERGY CONVERSION AND MANAGEMENT 2020年 223卷 113211-113211页
作者: Liu, Yun Chong, Guoshuang Heidari, Ali Asghar Chen, Huiling Liang, Guoxi Ye, Xiaojia Cai, Zhennao Wangg, Mingjing Wenzhou Univ Dept Comp Sci & Artificial Intelligence Wenzhou 325035 Peoples R China China Ind Control Syst Cyber Emergency Response T Beijing 100040 Peoples R China Univ Tehran Coll Engn Sch Surveying & Geospatial Engn Tehran Iran Natl Univ Singapore Sch Comp Dept Comp Sci Singapore Singapore Wenzhou Polytech Dept Informat Technol Wenzhou 325035 Peoples R China Shanghai Lixin Univ Accounting & Finance Shanghai 201209 Peoples R China Duy Tan Univ Inst Res & Dev Da Nang 550000 Vietnam
An improved Harris hawks optimization is proposed in this work to facilitate the simulation of an efficient photovoltaic system and extraction of unknown parameters, which combines horizontal and vertical crossover me... 详细信息
来源: 评论
An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization
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ENERGY CONVERSION AND MANAGEMENT 2017年 150卷 108-121页
作者: Yin, Hao Dong, Zhen Chen, Yunlong Ge, Jiafei Lai, Loi Lei Vaccaro, Alfredo Meng, Anbo Guangdong Univ Technol Sch Automat Guangzhou 510006 Guangdong Peoples R China Univ Sannio Engn Dept I-82100 Benevento Italy
Large-scale integration of wind energy into electric grid is restricted by its inherent intermittence and volatility. So the increased utilization of wind power necessitates its accurate prediction. The contribution o... 详细信息
来源: 评论
An Ameliorated Moth-flame optimization algorithm  37
An Ameliorated Moth-flame Optimization Algorithm
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37th Chinese Control Conference (CCC)
作者: Zhao, Xiao-dong Fang, Yi-ming Ma, Zhuang Xu, Miao Yanshan Univ Key Lab Ind Comp Control Engn Hebei Prov Qinhuangdao 066004 Hebei Peoples R China Natl Engn Res Ctr Equipment & Technol Cold Strip Qinhuangdao 066004 Hebei Peoples R China Tangshan Univ Tangshan 063000 Hebei Peoples R China
To improve the global search ability under the condition of ensuring convergence speed, it is still a major challenge for most meta-heuristic optimization algorithms. The Moth-Flame optimization (MFO) algorithm is an ... 详细信息
来源: 评论
An efficient crisscross optimization solution to large-scale non-convex economic load dispatch with multiple fuel types and valve-point effects
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ENERGY 2016年 第0期113卷 1147-1161页
作者: Meng, Anbo Li, Jinbei Yin, Hao Guangdong Univ Technol Sch Automat Guangzhou 510006 Guangdong Peoples R China
As one of important optimization problems in power system, economic dispatch (ED) with multiple fuel options is characterized by high non-convexity, non-linearity and discontinuity. The, combined action of multiple fu... 详细信息
来源: 评论
An Ameliorated Moth-flame optimization algorithm
An Ameliorated Moth-flame Optimization Algorithm
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第37届中国控制会议
作者: Xiao-dong Zhao Yi-ming Fang Zhuang Ma Miao Xu Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Tangshan University
To improve the global search ability under the condition of ensuring convergence speed, it is still a major challenge for most meta-heuristic optimization algorithms. The Moth-Flame optimization(MFO) algorithm is an... 详细信息
来源: 评论