机构

• 长春光学精密机械与物... [1]
• 过程工程研究所 [1]
• 武汉岩土力学研究所 [1]
• 生态环境研究中心 [1]
• 工程热物理研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [3]
• 会议论文 [1]
• 学位论文 [1]

发表日期

• 2022 [1]
• 2021 [1]
• 2020 [1]
• 2010 [1]
• 2008 [1]

学科主题

• Chemistry [1]
• Engineerin... [1]
• Materials ... [1]
• Physics [1]

筛选

浏览/检索结果: 共5条，第1-5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 Study on Permeability Stress-Sensitivity in Seepage-Geomechanical Coupling of Fractured Deep Tight Sandstone Gas Reservoirs 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2022, 卷号: 12, 期号: 22 作者:  Song, Jiecheng;  Liu, Jianjun;  Song, Rui;  Song, Yujia   |  收藏  |  浏览/下载：21/0  |  提交时间：2023/08/02 permeability stress-sensitivity  numerical simulation  fractured reservoirs  optimization scheme  production prediction   Performance prediction of ZVI-based anaerobic digestion reactor using machine learning algorithms 期刊论文  OAI收割 WASTE MANAGEMENT, 2021, 卷号: 121, 页码: 59-66 作者:  Xu, Weichao;  Long, Fei;  Zhao, He;  Zhang, Yaobin;  Liang, Dawei   |  收藏  |  浏览/下载：33/0  |  提交时间：2022/06/15 Anaerobic digestion  Zero-valent iron  Machine learning  Methane production  Prediction   发酵类制药废水中不同类型抗生素的水解去除效能预测和强化 学位论文  OAI收割 北京: 中国科学院生态环境研究中心, 2020 作者:  唐妹   |  收藏  |  浏览/下载：81/0  |  提交时间：2021/07/07 抗生素生产废水 效价， 预处理技术 强化水解 水解效能预测  antibiotic Production Wastewater, Antibacterial Activity, Pretreatment Technology, Enhanced Hydrolysis, Hydrolysis Potential Prediction   Prediction model of molten iron endpoint temperature in AOD furnace based on RBF neural network (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Logistics Systems and Intelligent Management, ICLSIM 2010, January 9, 2010 - January 10, 2010, Harbin, China Ma H.-T.; You W.; Chen T. 收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25 According to Jilin Ferroalloy Factory 10-ton AOD furnace actual smelting condition  analyzes the impact factor of AOD furnace molten iron endpoint temperature  by optimizing the neural network connection weights and structure  design prediction model of molten iron endpoint temperature based on RBF neural network  using LM algorithm and 50 furnaces actual production data to train the model  and predicts another 50 furnaces molten iron temperature  Result shows that prediction model of molten iron endpoint temperature based on RBF neural network has a high accuracy  when the error of endpoint temperature is 12 C  hit rate of temperature is 82.4%. 2010 IEEE.   Predicting the performance of system for the co-production of Fischer-Tropsch synthetic. liquid and power from coal 期刊论文  OAI收割 JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2008, 卷号: 130, 期号: 1 作者:  Wang, Xun;  Xiao, Yunhan;  Xu, Song;  Guo, Zhigang 收藏  |  浏览/下载：26/0  |  提交时间：2015/12/18 co-production  performance prediction  FT