机构

• 地理科学与资源研究... [12]
• 生态环境研究中心 [5]
• 合肥物质科学研究院 [5]
• 地球环境研究所 [4]
• 上海硅酸盐研究所 [2]
• 深圳先进技术研究院 [1]
• 更多

采集方式

• OAI收割 [30]

内容类型

• 期刊论文 [29]
• 会议论文 [1]

发表日期

• 2025 [1]
• 2024 [2]
• 2023 [4]
• 2022 [5]
• 2021 [6]
• 2020 [2]
• 更多

学科主题

• Optics [2]

筛选

浏览/检索结果: 共30条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2025, 卷号: 15, 期号: 1, 页码: 6798 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：5/0  |  提交时间：2025/04/21 Artificial neural network  Long short-term memory  Deep Learning  Ozone   A Performance Comparison Study on Climate Prediction in Weifang City Using Different Deep Learning Models 期刊论文  OAI收割 WATER, 2024, 卷号: 16, 期号: 19, 页码: 20 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng;  Qiao, Shuaisen;  Zhu, Jingshu   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/12/30 artificial intelligence  neural network  gate recurrent unit  long short-term memory  convolutional neural network  average atmospheric temperature  precipitation   The Characteristics of Air Quality Changes in Hohhot City in China and their Relationship with Meteorological and Socio-economic Factors 期刊论文  OAI收割 AEROSOL AND AIR QUALITY RESEARCH, 2024, 卷号: 24, 期号: 5, 页码: 14 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：194/0  |  提交时间：2024/07/24 Air quality  Meteorological factor  Socio-economic factor  PM 2.5  O 3   Prediction of monthly average and extreme atmospheric temperatures in Zhengzhou based on artificial neural network and deep learning models 期刊论文  OAI收割 FRONTIERS IN FORESTS AND GLOBAL CHANGE, 2023, 卷号: 6, 页码: 1249300 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/01/04 extreme atmospheric temperature  artificial neural network  deep learning  CNN-GRU  CNN-LSTM  prediction  training algorithm  forest   Prediction of Hourly PM2.5 and PM10 Concentrations in Chongqing City in China Based on Artificial Neural Network 期刊论文  OAI收割 AEROSOL AND AIR QUALITY RESEARCH, 2023, 卷号: 23, 期号: 6, 页码: 11 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/10/09 Air pollution  Artificial neural network  Meteorological element  Predict  PM 2  5  PM 10  Chongqing  Training function   Change in Air Quality during 2014-2021 in Jinan City in China and Its Influencing Factors 期刊论文  OAI收割 TOXICS, 2023, 卷号: 11, 期号: 3, 页码: 210 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/01/04 air quality  influencing factors  PM2 5  PM10  COVID-19   Predicting of Daily PM2.5 Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China 期刊论文  OAI收割 TOXICS, 2023, 卷号: 11, 期号: 1, 页码: 19 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/03/20 PM2 5  wavelet  artificial neural network  predicting  DNN  CNN  LSTM  COVID-19  epidemic   Long-term projection of future climate change over the twenty-first century in the Sahara region in Africa under four Shared Socio-Economic Pathways scenarios 期刊论文  OAI收割 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 页码: 11 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：26/0  |  提交时间：2022/11/18 Climate change  Sahara  Shared Socio-Economic Pathways  Future  Greenhouse gas   Long-term projection of future climate change over the twenty-first century in the Sahara region in Africa under four Shared Socio-Economic Pathways scenarios 期刊论文  OAI收割 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 页码: 11 作者:  Guo, Qingchun;  He, Zhenfang;  Wang, Zhaosheng   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/11/18 Climate change  Sahara  Shared Socio-Economic Pathways  Future  Greenhouse gas   Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network 期刊论文  OAI收割 ATMOSPHERE, 2022, 卷号: 13, 期号: 8, 页码: 16 作者:  He, Zhenfang;  Guo, Qingchun;  Wang, Zhaosheng;  Li, Xinzhou   |  收藏  |  浏览/下载：45/0  |  提交时间：2022/09/26 air pollution  artificial intelligence  COVID-19  deep learning  long short-term memory