2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems最新文献

Pattern recognition of eye movements 眼球运动的模式识别

2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems Pub Date : 2009-05-15 DOI: 10.1109/ESDIS.2009.4938997

J. J. Rubio, Carlos Aviles, R. Coello, Jose Francisco Cruz, Hector Rivero

引用次数: 1

Evolving on-line prediction model dealing with industrial data sets 改进的工业数据在线预测模型

2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems Pub Date : 2009-05-15 DOI: 10.1109/ESDIS.2009.4938995

P. Kadlec, B. Gabrys

引用次数: 5

Interval-based evolving modeling 基于区间的演化建模

2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems Pub Date : 2009-05-15 DOI: 10.1109/ESDIS.2009.4938992

D. Leite, P. Costa, F. Gomide

引用次数: 16

Incremental induction of fuzzy classification rules 模糊分类规则的增量归纳

2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems Pub Date : 2009-05-15 DOI: 10.1109/ESDIS.2009.4938996

A. Bouchachia

引用次数: 18

Analysis of organized asymmetry development using artificial cellular differentiation models 利用人工细胞分化模型分析有组织的不对称发育

2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems Pub Date : 2009-05-15 DOI: 10.1109/ESDIS.2009.4938998

M. Gongora, M. C. Rodas

引用次数: 3

Modelling evolving user behaviours 为不断变化的用户行为建模

2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems Pub Date : 2009-05-15 DOI: 10.1109/ESDIS.2009.4938994

J. A. Iglesias, P. Angelov, Agapito Ledezma, A. Sanchis

{"title":"Modelling evolving user behaviours","authors":"J. A. Iglesias, P. Angelov, Agapito Ledezma, A. Sanchis","doi":"10.1109/ESDIS.2009.4938994","DOIUrl":"https://doi.org/10.1109/ESDIS.2009.4938994","url":null,"abstract":"Knowledge about computer users is very beneficial for assisting them, predicting their future actions or detecting masqueraders. In this paper, a new approach for creating and recognizing automatically the behaviour profile of a computer user is presented. In this case, a computer user behaviour is represented as the sequence of the commands (s)he types during her/his work. This sequence is transformed into a distribution of relevant subsequences of commands in order to find out a profile that defines its behaviour. Also, because of a user profile is not necessarily fixed but rather it evolves/changes, we propose an evolving method to keep up to date the created profiles using an Evolving Systems approach. In this paper we combine the evolving classifier with a trie-based user profiling to obtain a powerful self-learning on-line scheme. We also develop further the recursive formula of the potential of a data point to become a cluster centre using cosine distance which is provided in the Appendix. The novel approach proposed in this paper can be applicable to any problem of dynamic/evolving user behaviour modelling where it can be represented as a sequence of actions and events. It has been evaluated on several real data streams.","PeriodicalId":257215,"journal":{"name":"2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132517135","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: 15

An evolutionary algorithm testbed for quick implementation of algorithms in hardware 一个进化算法测试平台，用于在硬件上快速实现算法

2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems Pub Date : 2009-05-15 DOI: 10.1109/ESDIS.2009.4938999

T. Smilkstein, K. Tati, Parashar Barve, M. Hai, Kittisak Sajjapongse, Durgesh K. Sharma

{"title":"An evolutionary algorithm testbed for quick implementation of algorithms in hardware","authors":"T. Smilkstein, K. Tati, Parashar Barve, M. Hai, Kittisak Sajjapongse, Durgesh K. Sharma","doi":"10.1109/ESDIS.2009.4938999","DOIUrl":"https://doi.org/10.1109/ESDIS.2009.4938999","url":null,"abstract":"We have developed a general purpose evolutionary algorithm testbed (GPeat) that allows evolutionary algorithm designers to quickly and with minimal hardware knowledge move their algorithms into hardware. A user programs the testbed through a graphical user interface (GUI) that lets the user choose system parameters such as types and combinations of crossovers and mutations, initial population descriptions, fitness function rules, criteria for selection and elitism rates. A variety of sensors or computer connections can be made to the testbed so that both intrinsic and extrinsic runs can be carried out. Outputs of the testbed can likewise be computer or device directed. Use of the GUI requires minimal knowledge of hardware and connecting sensors and output devices to the board requires only the ability to identify basic device characteristics (i.e. voltage or current output, analog or digital output). In this first version, sensor inputs, fitness/chromosome value pairs, generated initial values, selected outputs are dumped to a file on the computer for analysis. New evolutionary algorithm specific hardware structures have also been developed which can provide faster run times than direct FPGA implementations. This tool will allow quick prototyping for those wanting to move their algorithms from the computer to the real world, the option to use the hardware as a debugging tool or as the final embedded, portable evolutionary algorithm hardware system.","PeriodicalId":257215,"journal":{"name":"2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131824992","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: 1

An evolving neuro-fuzzy recurrent network 一个进化的神经模糊递归网络

2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems Pub Date : 2009-05-15 DOI: 10.1109/ESDIS.2009.4938993

J. J. R. Avila, Jaime Pacheco Martinez, A. F. Ramírez

引用次数: 0

Neural network versus behavior based approach in simulated car racing game 基于神经网络与行为的模拟赛车博弈方法

2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems Pub Date : 2009-05-15 DOI: 10.1109/ESDIS.2009.4939000

Huajin Tang, C. H. Tan, Kay Chen Tan, A. Tay

引用次数: 10