机构

• 长春光学精密机械与物... [2]
• 数学与系统科学研究院 [1]
• 武汉岩土力学研究所 [1]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [2]
• 期刊论文 [2]

发表日期

• 2019 [1]
• 2018 [1]
• 2011 [1]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4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 A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China 期刊论文  OAI收割 REMOTE SENSING, 2019, 卷号: 11, 期号: 1, 页码: - 作者:  Wang, Yi;  Hong, Haoyuan;  Chen, Wei;  Li, Shaojun;  Pamucar, Dragan   |  收藏  |  浏览/下载：34/0  |  提交时间：2020/04/08 flood susceptibility  GIS modeling  multi-criteria decision-making  interval rough numbers  expert knowledge   Does Interval Knowledge Sharpen Forecasting Models? Evidence from China's Typical Ports 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2018, 卷号: 17, 期号: 2, 页码: 467-483 作者:  Huang, Anqiang;  Lai, Kin Keung;  Qiao, Han;  Wang, Shouyang   |  收藏  |  浏览/下载：38/0  |  提交时间：2018/07/30 Container throughput forecasting  interval knowledge  SARIMA  SVR   Inverse control of cable-driven parallel system based on type-2 fuzzy logic and multi-source knowledge (EI CONFERENCE) 会议论文  OAI收割 International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China 作者:  Li C.;  Li C.;  Li C. 收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25 In this paper  we realize the control of cable-driven parallel system via a type-2 fuzzy inverse control method based on its multi-source knowledge which includes heuristics  prior knowledge and data information. A fuzzy inverse controller is interval type-2 fuzzy NARX model which is identified via the multi-source knowledge. Experiment results show the control method is practical and excellent.   An algorithm of Bayesian networks parameters learning based on confidence interval (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China 作者:  Li Y.;  Li Y.;  Li Y.;  Li Y. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 This paper focuses on an interval parameter estimation of Bayesian Networks (BNs). Contrast to the point estimation used in most parameter learning algorithms  interval estimation algorithm (IEA) estimates the output nodes parameter of BNs with an interval estimation based on confidence level  it can raise BNs inference accuracy slightly as the prior knowledge is absence. 2010 IEEE.