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检索条件"主题词=Bayesian Regularization Algorithm"
16 条 记 录,以下是1-10 订阅
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Photovoltaic Power Forecasting Using Recurrent Neural Network Based On bayesian regularization algorithm
Photovoltaic Power Forecasting Using Recurrent Neural Networ...
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IEEE International Conference in Power Engineering Application (ICPEA)
作者: Kusuma, Vita Priyadi, Ardvono Budi, Avian Lukman Setya Putri, Vita Lystianingrum Budiharto Inst Teknol Sepuluh Nopember Dept Elect Engn Surabaya Indonesia
Photovoltaic (PV) is a generator that utilizes solar energy into electrical energy. On-grid photovoltaic is the system can reduce electricity bills, besides that the electricity produced is environmentally friendly an... 详细信息
来源: 评论
Short-Term Photovoltaic Power Prediction Based on bayesian Regularized BP Neural Networks  6
Short-Term Photovoltaic Power Prediction Based on Bayesian R...
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6th International Conference on Electrical Engineering and Green Energy (CEEGE)
作者: Liu, Jiakang Wang, Haiyan Hao, Tianfei Xian Univ Technol Sch Elect Engn Xian Peoples R China
In view of the problem that the randomness and volatility of photovoltaic power generation lead to low prediction accuracy, this paper proposes a short-term prediction method for photovoltaic power generation power ba... 详细信息
来源: 评论
Optimization of Optical Machine Structure by Backpropagation Neural Network Based on Particle Swarm Optimization and bayesian regularization algorithms
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MATERIALS 2021年 第11期14卷 2998页
作者: Zhang, Xinyong Sun, Liwei Chinese Acad Sci Shanghai Inst Tech Phys Shanghai 200083 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Chinese Acad Sci Shanghai Inst Tech Phys Key Lab Infrared Detect & Imaging Technol Shanghai 200083 Peoples R China
Fit of the highly nonlinear functional relationship between input variables and output response is important and challenging for the optical machine structure optimization design process. The backpropagation neural ne... 详细信息
来源: 评论
LEVERAGING ON INTELLIGENT COMPUTING NEURO-STRUCTURES FOR POPULATION DYNAMICS OF FINANCIAL BUBBLE MODEL
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SINGAPORE ECONOMIC REVIEW 2025年 第0期
作者: Syed, Farwah Ali Fang, Kwo-ting Kiani, Adiqa Kausar Shoaib, Muhammad Raja, Muhammad Asif Zahoor Natl Yunlin Univ Sci & Technol Dept Informat Management 123 Univ RdSect 3 Touliu 64002 Taiwan Natl Yunlin Univ Sci & Technol Future Technol Res Ctr 123 Univ RdSect 3 Touliu 64002 Taiwan Yuan Ze Univ AI Ctr Taoyuan 320 Taiwan
This study aims to exploit the Artificial intelligence (AI)-based computing paradigm to analyze the economic system to define the price movements of unsustainable expansion, rapid collapse, and eventual equilibrium th... 详细信息
来源: 评论
Hybrid algorithm Based On Levenberg-Marquardt bayesian regularization algorithm and Genetic algorithm
Hybrid Algorithm Based On Levenberg-Marquardt Bayesian Regul...
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International Conference on Advanced Mechatronic Systems (ICAMechS)
作者: Song, Feng Wang, Hongchun Chongqing Normal Univ Dept Math Chongqing Peoples R China
In order to overcome the insufficiencies of the convergence of the low speed, a low precision of the forecast and easy convergence to a local minimum point of error function on BP Neural Networks (BPNN), a new hybrid ... 详细信息
来源: 评论
Backpropagation artificial neural network-based maximum power point tracking controller with image encryption inspired solar photovoltaic array reconfiguration
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 第PartA期136卷
作者: Kumaraswamy, Madavena Naik, Kanasottu Anil Natl Inst Technol Warangal Dept Elect Engn Warangal India
The enhancement of photovoltaic (PV) arrays through reconfiguration presents a promising avenue for increasing the global maximum power (GMP) and improving overall array performance. This enhancement is achieved by mi... 详细信息
来源: 评论
Systematic evaluation of pulsed laser parameters effect on temperature distribution in dissimilar laser welding: A numerical simulation and artificial neural network
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OPTICS AND LASER TECHNOLOGY 2023年 第1期163卷
作者: Sun, Chuan Dehkordi, Mohammad Hossein Razavi Kholoud, Mohammad Javad Azimy, Hamidreza Li, Z. Huanggang Normal Univ Sch Electromech & Intelligent Mfg Huanggang Peoples R China Huanggang Normal Univ Hubei Zhongke Res Inst Ind Technol Huanggang Peoples R China Islamic Azad Univ Dept Mech Engn Najafabad Branch Najafabad Iran Islamic Azad Univ Najafabad Branch Aerosp & Energy Convers Res Ctr Najafabad Iran Opole Univ Technol Fac Mech Engn PL-45758 Opole Poland
The heat transfer mechanism and temperature distribution in laser welding applications have a great impact on the quality of the weld bead geometry, mechanical properties and the resultant microstructure characterizat... 详细信息
来源: 评论
Hydrocarbon production dynamics forecasting using machine learning: A state-of-the-art review
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FUEL 2023年 第1期337卷
作者: Liang, Bin Liu, Jiang You, Junyu Jia, Jin Pan, Yi Jeong, Hoonyoung Southwest Petr Univ State Key Lab Oil & Gas Reservoir Geol & Exploitat Chengdu 610500 Peoples R China Chongqing Univ Sci & Technol Chongqing 401331 Peoples R China Res Inst Petr Explorat & Dev Beijing 100086 Peoples R China Seoul Natl Univ Res Inst Energy & Resources Inst Engn Res Dept Energy Syst Engn Seoul 08826 South Korea
Accurate prediction of hydrocarbon production is crucial for the oil and gas industry. However, the strong heterogeneity of underground formation, the inconsistency in oil-gas-water distribution, and the complex flow ... 详细信息
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Gas path parameter prediction of aero-engine based on an autoregressive discrete convolution sum process neural network
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CHAOS SOLITONS & FRACTALS 2022年 第0期154卷 111627-111627页
作者: Cui, Zhiquan Yan, Zhiqi Zhao, Minghang Zhong, Shisheng Harbin Inst Technol Weihai Sch Automot Engn 2 Wenhuaxi Rd Weihai 264209 Peoples R China Harbin Inst Technol Sch Mechatron Engn 92 West Dazhi St Harbin 150001 Heilongjiang Peoples R China Harbin Inst Technol Weihai Sch Ocean Engn 2 Wenhuaxi Rd Weihai 264209 Peoples R China
In order to improve the approximation ability of neural network to functional and improve the prediction accuracy of time series data, this paper proposes an autoregressive discrete convolution sum process neural netw... 详细信息
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Exploration of stock index change prediction model based on the combination of principal component analysis and artificial neural network
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SOFT COMPUTING 2020年 第11期24卷 7851-7860页
作者: Cao, Jiasheng Wang, Jinghan Univ Sci & Technol China Hefei Peoples R China IIT Chicago IL 60616 USA
In order to establish an accurate effective stock forecasting model, the principal component analysis (PCA) was first used to analyze the main financial index data of some listed companies and the comprehensive score ... 详细信息
来源: 评论