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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2010     已选(0)清除 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 文本褒贬倾向判定系统的研究 期刊论文 2010, 2010 孟凡博; 蔡莲红; 陈斌; 吴鹏; MENG Fan-bo; CAI Lian-hong; CHEN Bin; WU Peng 收藏  |  浏览/下载：6/0 Self power-following test analysis on the 5 MW nuclear heating reactor with the ATHLET code 期刊论文 2010, 2010 Cao Wei; Zhou Zhiwei; Fang Jing 收藏  |  浏览/下载：5/0 Quantitative analysis method for MFL testing for oil and gas pipelines based on RBF neutral network 期刊论文 2010, 2010 Cui Wei; Huang Songling; Zhao Wei 收藏  |  浏览/下载：2/0 Computer simulation research on cognitive mechanism of human vision (EI CONFERENCE) 会议论文 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：25/0  |  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.   Application of LS-SVM network in LDF forming process 期刊论文 Hanjie Xuebao/Transactions of the China Welding Institution, 2010, 卷号: 31, 期号: [db:dc_citation_issue], 页码: 9-12 作者:  Lu, Zhongliang;  Li, Dichen;  Lu, Bingheng;  Zhang, Anfeng 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/10 Direct manufacturing  Forming accuracy  Generalization ability  Least Square Support Vector Machine (LS-SVM)  Least squares support vector machines  Nonlinear characteristics  Parameters  Training and testing