机构

• 地理科学与资源研究所 [4]
• 长春光学精密机械与物... [2]

采集方式

• OAI收割 [6]

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浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Can Tourism Development Make Cities More Livable? Investigating 40 Cities in China 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 卷号: 19, 期号: 1, 页码: 17 作者:  Kang, Lei;  Yang, Zhaoping;  Dang, Yunxiao;  Zhang, Wenzhong;  Liu, Caicai   |  收藏  |  浏览/下载：27/0  |  提交时间：2022/09/21 tourism  livable city  degree of satisfaction  influence factors  multilevel model  40 cities  China   Quantifying and mapping the responses of selected ecosystem services to projected land use changes 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2019, 卷号: 102, 页码: 186-198 作者:  Lang, Yanqing;  Song, Wei   |  收藏  |  浏览/下载：12/0  |  提交时间：2019/09/24 Land use change  Ecosystem services  Scenario simulation  Influence degree  Karst mountains   Quantifying and mapping the responses of selected ecosystem services to projected land use changes 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2019, 卷号: 102, 页码: 186-198 作者:  Lang, Yanqing;  Song, Wei   |  收藏  |  浏览/下载：27/0  |  提交时间：2019/09/24 Land use change  Ecosystem services  Scenario simulation  Influence degree  Karst mountains   Quantitative analysis of the factors influencing spatial distribution of soil heavy metals based on geographical detector 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 664, 页码: 392-413 作者:  Qiao, Pengwei;  Yang, Sucai;  Lei, Mei;  Chen, Tongbin;  Dong, Nan   |  收藏  |  浏览/下载：77/0  |  提交时间：2019/10/11 Heavy metal pollution  Influencing factors  Influencing degree  Interaction influence  Risk zone  Geographical detector   Study of the neural network constitutive models for turfy soil with different decomposition degree (EI CONFERENCE) 会议论文  OAI收割 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China 作者:  Nie L. 收藏  |  浏览/下载：20/0  |  提交时间：2013/03/25 The turfy soil is of a special humus soil. The decomposition degree is the main factor on the physical and mechanical properties of turfy soil. To build the turfy soil constitutive model  there are a few shortages such as the calculation cumbersome and low accuracy for parameter value with the method of traditional models. Furthermore  those methods did not reflect the influence of strength that effected by decomposition degree of the turfy soil. In this paper  the relationship of stress-strain with different decomposition degrees of turfy soil was carried out through indoor tests. Based on above experimental results  an improved method  which divided into different zones according to different decomposition degrees of turfy soil and calculated combining with neural network constitutive model is put forward. The result shows that  the neural network of turfy soil has good fitting precision and good generalization ability. It can fully describe the influence of the turfy soil. 2011 IEEE.   Computer simulation research on cognitive mechanism of human vision (EI CONFERENCE) 会议论文  OAI收割 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010, March 13, 2010 - March 14, 2010, Changsha, China Ke H.; You W. 收藏  |  浏览/下载：38/0  |  提交时间：2013/03/25 The development of intelligent system which accorded with human cognitive mechanism will exert a profound influence on national defense  economy  education  culture and etc. A computer simulation method according with cognitive mechanism of human vision was proposed on the basis of Structural Decomposition Theory. Many basic shape feature information tables of similar object from different side can determine a kind of object uniquely. System weighted basic shape features in two different information tables by membership degree and then calculated similarity. The identifying object which had the maximum similarity with it in system was what we needed. The system used 83 pictures of 6 kinds of objects with different side for training and testing. The experiment results demonstrated  task of basic shape extraction  object recognition and others can be completed effectively with the method in paper. The method in paper can be a new attempt on computer simulation method according with cognitive mechanism of human vision from cognitive field. 2010 Crown Copyright.