2006 IEEE International Conference on Granular Computing最新文献

The transitive closures of matrices over distributive lattices 矩阵在分配格上的传递闭包

2006 IEEE International Conference on Granular Computing Pub Date : 2006-05-10 DOI: 10.1109/GRC.2006.1635759

Guilong Liu

引用次数: 11

A novel neural network model for different information granulation processing 一种针对不同信息造粒处理的神经网络模型

2006 IEEE International Conference on Granular Computing Pub Date : 2006-05-10 DOI: 10.1109/GRC.2006.1635756

Zhao Jianmin, Liang Jiuzhen

引用次数: 0

Using null data processing to recognize variant computer viruses for rule-based anti-virus systems 针对基于规则的杀毒系统，采用空数据处理识别计算机病毒

2006 IEEE International Conference on Granular Computing Pub Date : 2006-05-10 DOI: 10.1109/GRC.2006.1635874

Trương Minh Nhật Quang, H. Kiem, N. Thuy

引用次数: 2

Data and learning 数据和学习

2006 IEEE International Conference on Granular Computing Pub Date : 2006-05-10 DOI: 10.1109/GRC.2006.1635747

S. Smale

引用次数: 1

Some learning paradigms for granular computing 一些用于颗粒计算的学习范例

2006 IEEE International Conference on Granular Computing Pub Date : 2006-05-10 DOI: 10.1109/GRC.2006.1635750

R. Yager

{"title":"Some learning paradigms for granular computing","authors":"R. Yager","doi":"10.1109/GRC.2006.1635750","DOIUrl":"https://doi.org/10.1109/GRC.2006.1635750","url":null,"abstract":"I. HIERARCHICAL ARCHITECTURE FOR FUZZY MODELING HE basic approach used in fuzzy logic for the modeling of complex relationships is called fuzzy systems modeling. This approach has been used in many of the successful applications of fuzzy logic [1]. It allows for rapid and inexpensive development of systems by greatly reducing the number of rules needed in the modeling process. It also contributes to reductions in the time consuming task of knowledge engineering by allowing the capturing of expert knowledge in a manner easy for the expert to articulate by providing a bridge between human linguistic expression and the types of formal models needed for computer processing and manipulation. We describe an extension of this basic fuzzy systems model which uses a hierarchical organization of the rules. This framework, called a Hierarchical Prioritized Structure (HPS) [2-9], allows for the modeling of more complex relationships and can be used in the construction of large scale fuzzy systems models. The HPS has a number of features that can further contribute to reduction in the costs associated with the task of knowledge engineering. One feature is its ability to allow the modeling of default rules. There are a number of benefits associated with models that allow for the inclusion of default rules. The use of default rules contribute to affordable systems development by further reducing the number of rules needed. They also give the synthetic entities a robustness to operate in situations in which they have not been explicitly programmed or trained. It allows for modularity by enabling the modeling of common sense. Another important feature of this HPS structure is that it provides a framework in which model adaption can naturally take place by allowing rules and knowledge to move between different levels of the hierarchy. This allows for the inclusion of new knowledge without the complete repudiation of old knowledge by just moving the old knowledge to a lower level. This allows for the modeling of more sophisticated and human-like learning mechanisms.","PeriodicalId":400997,"journal":{"name":"2006 IEEE International Conference on Granular Computing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117235707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Semantic integration of web services and peertopeer networks to achieve fault-tolerance 语义集成web服务和对等网络，实现容错

2006 IEEE International Conference on Granular Computing Pub Date : 2006-05-10 DOI: 10.1109/GRC.2006.1635920

J. Cardoso

引用次数: 7

Dynamic Task Distribution in the Grid for BLAST 面向BLAST的网格动态任务分配

2006 IEEE International Conference on Granular Computing Pub Date : 2006-05-10 DOI: 10.1109/GRC.2006.1635863

E. Afgan, P. Sathyanarayana, P. Bangalore

引用次数: 9

Artificial general intelligence and classical neural network 人工通用智能和经典神经网络

2006 IEEE International Conference on Granular Computing Pub Date : 2006-05-10 DOI: 10.1109/GRC.2006.1635771

Pei Wang

引用次数: 8

Computing non-redundant bases of if-then rules from data tables with graded attributes 从具有分级属性的数据表中计算if-then规则的非冗余基

2006 IEEE International Conference on Granular Computing Pub Date : 2006-05-10 DOI: 10.1109/GRC.2006.1635784

R. Belohlávek, Vilém Vychodil

引用次数: 11

Real time target tracking with binary sensor networks and parallel computing 基于二元传感器网络和并行计算的实时目标跟踪

2006 IEEE International Conference on Granular Computing Pub Date : 2006-05-10 DOI: 10.1109/GRC.2006.1635768

Hong Lin, J. Rushing, S. Graves, S. Tanner, E. Criswell

{"title":"Real time target tracking with binary sensor networks and parallel computing","authors":"Hong Lin, J. Rushing, S. Graves, S. Tanner, E. Criswell","doi":"10.1109/GRC.2006.1635768","DOIUrl":"https://doi.org/10.1109/GRC.2006.1635768","url":null,"abstract":"A parallel real time data fusion and target tracking algorithm for very large binary sensor networks is presented. A binary sensor can give an on or off signal to indicate the presence or absence of targets within its range, but it cannot tell how many targets are present, where the targets are, how fast they are moving, or which direction they are heading. In order to detect and track targets using these sensors, it is necessary to fuse information from more than one sensor. A parallel data fusion process based on simulated annealing is used to identify and locate targets. Processing is performed on a commodity Linux cluster with communication between nodes facilitated by the Message Passing Interface (MPI). The fusion and tracking algorithm is tested with a wide variety of sensor network parameters using target track data from a theater level air combat simulation. It is demonstrated that very accurate target detection and localization are possible even though the binary sensors themselves provide little information and have high error rates. Real time tracking is performed on a network with 2.5 million sensors on a commodity cluster with only 50 processors.","PeriodicalId":400997,"journal":{"name":"2006 IEEE International Conference on Granular Computing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129812548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16