International Journal of Knowledge-Based and Intelligent Engineering Systems最新文献_第7页

Cooperation of hybrid agents in models of manufacturing systems 制造系统模型中混合agent的协同

IF 0.7

International Journal of Knowledge-Based and Intelligent Engineering Systems Pub Date : 2016-01-22 DOI: 10.3233/KES-150322

František apkovič

引用次数: 1

An experimental approach to find a suitable simulation method in business economics 在商业经济学中寻找合适的模拟方法的实验方法

IF 0.7

International Journal of Knowledge-Based and Intelligent Engineering Systems Pub Date : 2016-01-22 DOI: 10.3233/KES-150327

Roman Řperka

{"title":"An experimental approach to find a suitable simulation method in business economics","authors":"Roman Řperka","doi":"10.3233/KES-150327","DOIUrl":"https://doi.org/10.3233/KES-150327","url":null,"abstract":"The main goal of this paper is to compare the results of an agent-based and Monte Carlo simulation experiments in business process negotiation between sellers and customers of a simple trading commodity. The motivation of the presented research is to find suitable method for predicting key performance indicators of a business company. The intention is to develop a software module in the future which might help the management of business companies to support their decisions. Microeconomic demand functions were used as a core element in the negotiation. Specifically, Marshallian demand function and CobbDouglas utility functions is introduced. The paper firstly presents some of the principles of agent-based and Monte Carlo simulation techniques, and demand function theory. Secondly, we present a conceptual model of a business company in terms of a simulation framework. Thirdly, a formalization of demand functions and their implementation in a seller-to-customer negotiation is introduced. Lastly, we discuss some of the simulation results in one year of selling commodities. The results obtained show that agent-based method is more suitable than Monte Carlo in the presented domain, and the demand functions could be used to predict the trading results of a company in some metrics.","PeriodicalId":44076,"journal":{"name":"International Journal of Knowledge-Based and Intelligent Engineering Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2016-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78060665","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: 0

Recognition of dynamic gestures in arabic sign language using two stages hierarchical scheme 基于两阶段分层方案的阿拉伯手语动态手势识别

IF 0.7

International Journal of Knowledge-Based and Intelligent Engineering Systems Pub Date : 2010-08-01 DOI: 10.5555/1877774.1877777

Al-RousanMohammed, Al-JarrahOmar, Al-HammouriMohammed

引用次数: 0

Solving real-world vehicle routing problems with time windows using virus evolution strategy 利用病毒进化策略求解具有时间窗的车辆路径问题

IF 0.7

International Journal of Knowledge-Based and Intelligent Engineering Systems Pub Date : 2010-08-01 DOI: 10.5555/1877774.1877775

KanohHitoshi, TsukaharaSouichi

引用次数: 0

Detecting spam email by radial basis function networks 基于径向基函数网络的垃圾邮件检测

IF 0.7

International Journal of Knowledge-Based and Intelligent Engineering Systems Pub Date : 2007-12-01 DOI: 10.5555/1375334.1375340

JiangEric

引用次数: 0

Mining top-k strongly correlated item pairs without minimum correlation threshold 挖掘top-k强相关项对，不考虑最小相关阈值

IF 0.7

International Journal of Knowledge-Based and Intelligent Engineering Systems Pub Date : 2006-04-01 DOI: 10.5555/1239607.1239609

HeZengyou, XuXiaofei, DengShengchun

引用次数: 0

Internet server controller based intelligent maintenance system for information appliance products 基于Internet服务器控制器的信息家电产品智能维护系统

IF 0.7

International Journal of Knowledge-Based and Intelligent Engineering Systems Pub Date : 2005-04-01 DOI: 10.5555/1233853.1233861

LiuCheng-liang, F. ZhaXuan, MiaoYubin, LeeJay

引用次数: 0

Combination and optimization of classifiers in gender classification using genetic programming 基于遗传规划的性别分类器组合与优化

IF 0.7

International Journal of Knowledge-Based and Intelligent Engineering Systems Pub Date : 2005-01-01 DOI: 10.3233/KES-2005-9101

Asifullah Khan, A. Majid, A. M. Mirza

{"title":"Combination and optimization of classifiers in gender classification using genetic programming","authors":"Asifullah Khan, A. Majid, A. M. Mirza","doi":"10.3233/KES-2005-9101","DOIUrl":"https://doi.org/10.3233/KES-2005-9101","url":null,"abstract":"In this paper, we have investigated the problem of gender classification using frontal facial images. Four different classifiers, namely K-means, k-nearest neighbors, Linear Discriminant Analysis and Mahalanobis Distance Based classifiers are compared. Receiver operating characteristics (ROC) curve along with the area under the convex hull (AUCH) have been utilized as the performance measures of the classifiers at different feature subsets. To measure the overall performance of a classifier with single scalar value, the new scheme of finding the area under the convex hull of AUCH of ROC curves (AUCH of AUCHS) is proposed. It has been observed that, when the number of macro features is increased beyond 5, the AUCH saturates and even decreases for some classifiers, illustrating the curse of dimensionality. We then used genetic programming to combine classifiers and thus evolved an optimum combined classifier (OCC), producing better performance than the individual classifiers. We found that using only two features, the OCC has comparable performance to that of original classifier using 20 macro features. It produces true positive rate values as high as 0.94 corresponding to false positive rate as low as 0.15 for 1: 3 train to testing ratio. We also observed that heterogeneous combination of classifiers is more promising than the homogenous combination.","PeriodicalId":44076,"journal":{"name":"International Journal of Knowledge-Based and Intelligent Engineering Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75504397","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: 49

Univariate marginal distribution algorithms for non-stationary optimization problems 非平稳优化问题的单变量边际分布算法

IF 0.7

International Journal of Knowledge-Based and Intelligent Engineering Systems Pub Date : 2004-08-01 DOI: 10.5555/1233735.1233736

GhoshAshish, MuehlenbeinHeinz

引用次数: 4