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检索条件"主题词=Bayesian Optimization algorithm"
132 条 记 录,以下是41-50 订阅
排序:
Enhancement of LSTM models based on data pre-processing and optimization of bayesian hyperparameters for day-ahead photovoltaic generation prediction
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COMPUTERS & ELECTRICAL ENGINEERING 2024年 116卷
作者: Casanova, R. Herrera Conde, A. Autonomous Univ Nuevo Leon San Nicolas De Los Garza Mexico
In this paper, a forecasting method for day -ahead photovoltaic (PV) generation using long shortterm memory (LSTM) neural network is presented. To improve the quality of the predictions, the most relevant hyperparamet... 详细信息
来源: 评论
AN IMPROVED REAL-CODED bayesian optimization algorithm FOR CONTINUOUS GLOBAL optimization
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INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 2013年 第6期9卷 2505-2519页
作者: Moradabadi, Behnaz Beigy, Hamid Ahn, Chang Wook Sharif Univ Technol Dept Comp Engn Tehran Iran Sungkyunkwan Univ Dept Comp Engn 2066 Seobu Ro Suwon 440746 South Korea
bayesian optimization algorithm (BOA) utilizes a bayesian network to estimate the probability distribution of candidate solutions and creates the next generation by sampling the constructed bayesian network. This pape... 详细信息
来源: 评论
Classification forecasting research of rock burst intensity based on the BO-XGBoost-Cloud model
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EARTH SCIENCE INFORMATICS 2025年 第1期18卷 1-14页
作者: Yuan, Haiping Ji, Shuaijie Li, Hengzhe Zhu, Chuanqi Zou, Yangyao Ni, Bin Gu, Ziang Anhui Univ Sci & Technol State Key Lab Min Induced Response & Disaster Prev Huainan 232001 Peoples R China Hefei Univ Technol Coll Civil Engn Hefei 230009 Peoples R China
The rock burst belongs to a serious engineering geological disaster among the underground and deep resource exploitation engineering. The prediction of rock burst intensity has become an urgent problem to be addressed... 详细信息
来源: 评论
Image-based automatic multiple-defect detection of urban utility tunnel using UUTNet
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ADVANCES IN STRUCTURAL ENGINEERING 2024年 第7期27卷 1170-1188页
作者: Sun, Weihao Hou, Shitong Wu, Gang Feng, Dongming Fan, Jianhua Southeast Univ Sch Civil Engn Sipailou 2 Nanjing 210096 Peoples R China Southeast Univ Key Lab Concrete & Prestressed Concrete Struct Minist Educ Nanjing Peoples R China Natl & Local Joint Engn Res Ctr Intelligent Constr Nanjing Peoples R China
In-service urban utility tunnels (UUT) suffer from cracks, corrosion, and leakage defects, which rises the chance of major accidents. However, prevailing detection methods for UUT remain reliant on manual inspection a... 详细信息
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Voltage abnormity prediction method of lithium-ion energy storage power station using informer based on bayesian optimization
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SCIENTIFIC REPORTS 2024年 第1期14卷 1-17页
作者: Rao, Zhibo Wu, Jiahui Li, Guodong Wang, Haiyun Xinjiang Univ Engn Res Ctr Educ Minist Renewable Energy Generat & Grid Connec Urumqi 830049 Xinjiang Peoples R China Xinjiang Elect Power Co Ltd Elect Power Res Inst Urumqi 830049 Xinjiang Peoples R China
Accurately detecting voltage faults is essential for ensuring the safe and stable operation of energy storage power station systems. To swiftly identify operational faults in energy storage batteries, this study intro... 详细信息
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A novel hybrid forecasting model with feature selection and deep learning for wind speed research
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JOURNAL OF FORECASTING 2024年 第5期43卷 1682-1705页
作者: Chen, Xuejun Wang, Ying Zhang, Haitao Wang, Jianzhou Gansu Meteorol Serv Ctr Lanzhou 730020 Gansu Peoples R China Hainan Univ Int Business Sch Haikou 570228 Peoples R China Macau Univ Sci & Technol Inst Syst Engn Macau Peoples R China
Accurate wind speed prediction is of great importance for the operation of wind farms, and extensive efforts have been made to develop effective forecasting methods in this regard. However, the feature selection of da... 详细信息
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Forecasting Long-Term Electricity Consumption in Saudi Arabia Based on Statistical and Machine Learning algorithms to Enhance Electric Power Supply Management
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ENERGIES 2023年 第4期16卷 2035-2035页
作者: Almuhaini, Salma Hamad Sultana, Nahid Imam Abdulrahman Bin Faisal Univ Coll Comp Sci & Informat Technol Dept Comp Sci Dammam 34212 Saudi Arabia
This study aims to develop statistical and machine learning methodologies for forecasting yearly electricity consumption in Saudi Arabia. The novelty of this study include (i) determining significant features that hav... 详细信息
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Hybrid model for daily runoff interval predictions based on bayesian inference
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HYDROLOGICAL SCIENCES JOURNAL 2023年 第1期68卷 62-75页
作者: Xu, Hanbing Song, Songbai Li, Jun Guo, Tianli Northwest A&F Univ Coll Water Resources & Architectural Engn Yangling 712100 Peoples R China Northwest A&F Univ Key Lab Agr Soil & Water Engn Arid & Semiarid Area Minist Educ Yangling Peoples R China
The highly non-linear and nonstationary nature of runoff events in changing environments makes accurate and reliable runoff forecasting difficult. We propose a hybrid model by integrating an autoregressive (AR) model,... 详细信息
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Short-term load forecasting based on CNN-BiLSTM with bayesian optimization and attention mechanism
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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2023年 第17期35卷
作者: Shi, Huifeng Miao, Kai Ren, Xiaochen North China Elect Power Univ Dept Math & Phys Baoding 071003 Peoples R China
Accurate short-term load forecasting can ensure the reliable power supply of the power system and the regular operation of the grid economy. This article proposes a hybrid model based on convolutional neural networks ... 详细信息
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Optimal hybrid artificial intelligence models for predicting the adsorptive removal of dyes and phenols from aqueous solutions using an amine-functionalized graphene oxide/layered triple hydroxide nanocomposite
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JOURNAL OF MOLECULAR LIQUIDS 2023年 第PartB期391卷
作者: Al-Jamimi, Hamdi A. Bahadi, Salem A. Binmakhashen, Galal M. Onaizi, Sagheer A. King Fahd Univ Petr & Minerals Comp Sci & Engn Dhahran 31261 Saudi Arabia King Fahd Univ Petr & Minerals Res Excellence Dhahran 31216 Saudi Arabia King Fahd Univ Petr & Minerals Dept Chem Engn Dhahran 31216 Saudi Arabia King Fahd Univ Petr & Minerals Interdisciplinary Res Ctr Hydrogen & Energy Storag Dhahran 31216 Saudi Arabia
Water pollution is a serious environmental problem with a significant negative impact on human health and the ecosystem. Adsorption is an attractive process for water decontamination. Developing artificial intelligenc... 详细信息
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