2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献_第2页

Computational analysis of thematic blog data for sociological inference mining 面向社会学推理挖掘的专题博客数据计算分析

2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2013-05-23 DOI: 10.1109/SACI.2013.6608985

V. Singh, P. Waila, R. Sadat, Rajesh Piryani, A. Uddin

引用次数: 3

Approximation properties and continuous differentiability of a class of SISO fuzzy systems 一类SISO模糊系统的逼近性质和连续可微性

2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2013-05-23 DOI: 10.1109/SACI.2013.6608949

B. Bede, M. Peterson

{"title":"Approximation properties and continuous differentiability of a class of SISO fuzzy systems","authors":"B. Bede, M. Peterson","doi":"10.1109/SACI.2013.6608949","DOIUrl":"https://doi.org/10.1109/SACI.2013.6608949","url":null,"abstract":"The goal of the present paper is to investigate approximation and smoothness properties of Larsen type single input single output (SISO) fuzzy systems, that is, fuzzy logic systems using the maximum as aggregation for the individual rule outputs, product (Goguen) t-norm as the conjunctive operator and center of gravity defuzzification. We prove that the function providing the output of the above considered Larsen type fuzzy system is capable of approximating any continuous function. Also, it is continuously differentiable under very relaxed conditions as e.g. continuous differentiability of the antecendents except at their core, and continuous differentiability of the consequences of fuzzy rules except at their core and the enpoints of their support. We show practical examples regarding the approximation and smoothness of the Larsen type operators, showing also by an example that the conditions on the antecedent part cannot be in general weakened further without loosing continuous differentiability. The present paper provides a theoretical background for claims in literature stating that the output of a fuzzy control system of this type is smooth.","PeriodicalId":304729,"journal":{"name":"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"9 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127323478","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

Labview remote panels and Web services in solar energy experiment — A comparative evaluation Labview远程面板和Web服务在太阳能实验中的比较评价

2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2013-05-23 DOI: 10.1109/SACI.2013.6608979

P. Bauer, R. Ionel

引用次数: 12

Mathematical expressiveness for computational network interaction 计算网络交互的数学表达

2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2013-05-23 DOI: 10.1109/SACI.2013.6608943

S. Orzen

引用次数: 0

An improved ensemble approach for imbalanced classification problems 不平衡分类问题的改进集成方法

2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2013-05-23 DOI: 10.1109/SACI.2013.6609011

B. Krawczyk, G. Schaefer

{"title":"An improved ensemble approach for imbalanced classification problems","authors":"B. Krawczyk, G. Schaefer","doi":"10.1109/SACI.2013.6609011","DOIUrl":"https://doi.org/10.1109/SACI.2013.6609011","url":null,"abstract":"Classification of imbalanced data is a challenging task in machine learning, as most classification approaches tend to bias towards the majority class, even though the minority class is often the one of greater importance. Consequently, methods that are capable of boosting the classification accuracy on the minority class are sought after. In this paper, we propose an improved ensemble approach for imbalanced classification. Our algorithm is based on undersampling of the majority class to create balanced object subspaces, on which individual classifiers are trained. As not all generated classifiers will be useful for the ensemble construction, we carry out a pruning procedure to discard irrelevant models. This classifier selection is based on a diversity measure to identify mutually complementary classifiers. The remaining predictors are combined using a trained fuser based on discriminants. Extensive experimental results on several benchmark datasets demonstrate our proposed method to adequately address class imbalance and to (statistically) outperform several state-of-the-art classifier ensembles dedicated to imbalanced classification.","PeriodicalId":304729,"journal":{"name":"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122489869","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: 22

Design and verification of the industrial robot effector with use of rapid prototyping method 工业机器人效应器的快速原型设计与验证

2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2013-05-23 DOI: 10.1109/SACI.2013.6608946

J. N. Marcincin, M. Janák, J. Barna, L. Marcincinová

引用次数: 1

Energy efficiency in real-time systems: A brief overview 实时系统中的能源效率:简要概述

2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2013-05-23 DOI: 10.1109/SACI.2013.6608981

C. Stângaciu, M. Micea, V. Cretu

引用次数: 21

Extracting high-level user context from low-level mobile sensors data 从低级移动传感器数据中提取高级用户上下文

2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2013-05-23 DOI: 10.1109/SACI.2013.6609017

M. Marcu, N. Ghiata, V. Cretu

引用次数: 3

Diagnosis parameters used in treatment prediction of the lumbar spine 用于腰椎治疗预测的诊断参数

2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2013-05-23 DOI: 10.1109/SACI.2013.6608968

D. Andrei, D. Nemes, M. Tascau, D. Stoia

引用次数: 0

V/f control strategy with constant power factor for SPMSM drives, with experiments SPMSM驱动器的恒功率因数V/f控制策略，并进行了实验

2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI) Pub Date : 2013-05-23 DOI: 10.1109/SACI.2013.6608956

Chris Coman, S. Agarlita, G. Andreescu

引用次数: 6