2006 International Symposium on Evolving Fuzzy Systems最新文献_第5页

Inducing Comprehensibility In Evolutionary Polynomial-Fuzzy Classification Models 演化多项式-模糊分类模型的可理解性诱导

2006 International Symposium on Evolving Fuzzy Systems Pub Date : 2006-11-30 DOI: 10.1109/ISEFS.2006.251143

E. Mugambi, A. Hunter

{"title":"Inducing Comprehensibility In Evolutionary Polynomial-Fuzzy Classification Models","authors":"E. Mugambi, A. Hunter","doi":"10.1109/ISEFS.2006.251143","DOIUrl":"https://doi.org/10.1109/ISEFS.2006.251143","url":null,"abstract":"Comprehensibility is an important factor in medical predictive modelling as it dictates the credibility and even acceptability of a model. Generally, the performance of a model has always been the primary focus in most data mining jobs. Where there are serious risks posed by the decisions made by a model, it is not feasible to view comprehensibility aspects of a model as secondary to performance. While model comprehensibility is a topic that has aroused a lot of interest with two conference workshops (AI-UCAI'95 & AAAI 2005) placing it as its keynote issue and many papers written about it, there are no empirical methods of measuring it or even one consistent way to define it. It is generally accepted that smaller models are more comprehensible than larger ones. This forms the basis of most researches conducted in this area. In this paper, we investigate the efficacy of using multiobjective optimization in the Pareto sense to meet comprehensibility demands of models. Some of the objective functions used in this paper are novel while others have been used in other researches before. The results obtained show that incorporating aspects of comprehensibility in the induction process models does not necessarily retard the performance of models and could actually improve the performance versus complexity trade-off of evolutionary polynomial-fuzzy structures","PeriodicalId":269492,"journal":{"name":"2006 International Symposium on Evolving Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128140929","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

Longest path estimation from inherently fuzzy data acquired with GPS using genetic algorithms 利用遗传算法对GPS固有模糊数据进行最长路径估计

2006 International Symposium on Evolving Fuzzy Systems Pub Date : 2006-11-30 DOI: 10.1109/ISEFS.2006.251158

A. Otero, J. Otero, L. Sanchez, J. Villar

{"title":"Longest path estimation from inherently fuzzy data acquired with GPS using genetic algorithms","authors":"A. Otero, J. Otero, L. Sanchez, J. Villar","doi":"10.1109/ISEFS.2006.251158","DOIUrl":"https://doi.org/10.1109/ISEFS.2006.251158","url":null,"abstract":"Measuring the length of a path that a taxi must fare for is not an obvious task. When driving lower than certain threshold the fare is time dependent, but at higher speeds the length of the path is measured, and the fare depends on such measure. When passing an indoor MOT test, the taximeter is calibrated simulating a cab run, while the taxi is placed on a device equipped with four rotating steel cylinders in touch with the drive wheels. This indoor measure might be inaccurate, as information given by the cylinders is affected by tires inflating pressure, and only straight trajectories are tested. Moreover, modern vehicles with driving aids such as ABS, ESP or TCS might have their electronics damaged in the test, since two wheels are spinning while the others are not. To overcome these problems, we have designed a small, portable GPS sensor that periodically logs the coordinates of the vehicle and computes the length of a discretionary circuit. We show that all the legal issues with the tolerance of such a procedure (GPS data are inherently imprecise) can be overcome if genetic and fuzzy techniques are used to preprocess and analyze the raw data","PeriodicalId":269492,"journal":{"name":"2006 International Symposium on Evolving Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115912135","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: 12

Recognition of Different Operating States in Complex Systems by Use of Growing Neural Models 利用生长神经模型识别复杂系统的不同运行状态

2006 International Symposium on Evolving Fuzzy Systems Pub Date : 2006-11-30 DOI: 10.1109/ISEFS.2006.251153

G. Vachkov

引用次数: 5

Recovery of LSP Coefficient in VoIP Systems using Evolving Takagi-Sugeno Fuzzy Models 基于演化Takagi-Sugeno模糊模型的VoIP系统LSP系数恢复

2006 International Symposium on Evolving Fuzzy Systems Pub Date : 2006-11-30 DOI: 10.1109/ISEFS.2006.251163

E. Jones, P. Angelov, C. Xydeas

{"title":"Recovery of LSP Coefficient in VoIP Systems using Evolving Takagi-Sugeno Fuzzy Models","authors":"E. Jones, P. Angelov, C. Xydeas","doi":"10.1109/ISEFS.2006.251163","DOIUrl":"https://doi.org/10.1109/ISEFS.2006.251163","url":null,"abstract":"In order to deliver real time, high quality voice services in packet based voice system (e.g. voice over Internet protocol, VoIP) system designers must tackle inherent quality problems related to possible packet loss. To combat the inevitable speech quality deterioration resulting from the loss of transmitted packets of speech information, techniques that provide estimates of the lost information that is needed by the speech recovery process are of considerable interest. Furthermore, in VoIP systems employing linear predictive coding (LPC) based speech coders, a significant percentage of the coded speech information represent the values of LPC coefficients and thus a new approach for estimating missing LPC filter coefficients is presented in this paper. This approach employs a new formulation of LSP recovery system architecture where evolving fuzzy rule-based models and particularly so-called evolving Takagi-Sugeno models are deployed to generate the required estimates of missing LSPs. The proposed missing parameters estimation technique is generic and initial experimental results demonstrate its considerable potential in improving the quality of LPC based decoded speech in VoIP applications","PeriodicalId":269492,"journal":{"name":"2006 International Symposium on Evolving Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128344362","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

An Evolving Fuzzy Model for Embedded Applications 嵌入式应用的演化模糊模型

2006 International Symposium on Evolving Fuzzy Systems Pub Date : 2006-11-30 DOI: 10.1109/ISEFS.2006.251132

J.-C. de Barros, A. Dexter

引用次数: 4

Evolution of Fuzzy Grammars to aid Instance Matching 模糊语法的演化以辅助实例匹配

2006 International Symposium on Evolving Fuzzy Systems Pub Date : 2006-11-30 DOI: 10.1109/ISEFS.2006.251174

T. Martin, B. Azvine

引用次数: 5

Domain Knowledge and Decision Time: A Framework for Soft Computing Applications 领域知识与决策时间:软计算应用的框架

2006 International Symposium on Evolving Fuzzy Systems Pub Date : 2006-11-30 DOI: 10.1109/ISEFS.2006.251159

P. Bonissone

引用次数: 6

Automatic education and self organization of intelligent robotic systems based on genetic algorithms 基于遗传算法的智能机器人系统自动教育与自组织

2006 International Symposium on Evolving Fuzzy Systems Pub Date : 2006-11-30 DOI: 10.1109/ISEFS.2006.251162

V. Lokhin, S. Manko, M. Romanov, I. Gartseev, M. V. Kadochnikov

引用次数: 1

Genetic Rule Selection as a Postprocessing Procedure in Fuzzy Data Mining 遗传规则选择作为模糊数据挖掘的后处理程序

2006 International Symposium on Evolving Fuzzy Systems Pub Date : 2006-11-30 DOI: 10.1109/ISEFS.2006.251149

H. Ishibuchi, Y. Nojima, I. Kuwajima

引用次数: 7

A Method for Predicting Quality of the Crude Oil Distillation 一种原油蒸馏质量预测方法

2006 International Symposium on Evolving Fuzzy Systems Pub Date : 2006-11-30 DOI: 10.1109/ISEFS.2006.251167

P. Angelov, Xiaowei Zhou

{"title":"A Method for Predicting Quality of the Crude Oil Distillation","authors":"P. Angelov, Xiaowei Zhou","doi":"10.1109/ISEFS.2006.251167","DOIUrl":"https://doi.org/10.1109/ISEFS.2006.251167","url":null,"abstract":"Prediction of the properties of the crude oil distillation sidestreams based on statistical methods and laboratory-based analysis has been around for decades. However, there are still many problems with the existing estimators that require a development of new techniques especially for an on-line analysis of the quality of the distillation process. The nature of non-linear characteristics of the refinery process, the variety of properties to measure and control and the narrow window that normally refinery processes operate in are only some of the problems that a prediction technique should deal with in order to be useful for a practical application. There are many successful application cases that refinery units use real plant data to calibrate models. They can be used to predict quality properties of the gas oil, naphtha, kerosene and other products of a crude oil distillation tower. Some of these are distillation end points and cold properties (freeze, cloud). However, it is difficult to identify, control or compensate the dynamic process behavior and the errors from instrumentation for an online model prediction. The objective of this paper is to report an application and a study of a novel technique for real-time modeling, namely extended evolving fuzzy Takagi-Sugeno models (exTS) for prediction and online monitoring of these properties of the refinery distillation process. The results illustrate the effectiveness of the proposed technique and it's potential. The limitations and future directions of research are also outlined","PeriodicalId":269492,"journal":{"name":"2006 International Symposium on Evolving Fuzzy Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2006-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128489644","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: 24