International Conference on Fuzzy Systems最新文献_第4页

Feature selection in haptic-based handwritten signatures using rough sets 基于触觉手写签名的粗糙集特征选择

International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584258

N. Sakr, F. A. Alsulaiman, J. J. Valdés, Abdulmotaleb El Saddik, N. Georganas

{"title":"Feature selection in haptic-based handwritten signatures using rough sets","authors":"N. Sakr, F. A. Alsulaiman, J. J. Valdés, Abdulmotaleb El Saddik, N. Georganas","doi":"10.1109/FUZZY.2010.5584258","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584258","url":null,"abstract":"This paper explores the use of rough set theory for feature selection in high dimensional haptic-based handwritten signatures (exploited for user identification). Two rough set-based methods for feature selection are analyzed, the first is a greedy approach while the second relies on genetic algorithms to find minimal subsets of attributes. Also, to further reduce the haptic feature space while maximizing user identification accuracy, a method is proposed where feature vectors are subsampled prior to the feature selection procedure. Rough setgenerated minimal subsets are initially exploited to determine the importance of different haptic data types (e.g. force, position, torque and orientation) in discriminating between different users. In addition, a comparison between rough set-based methods and classical machine learning techniques in the selection of minimal information-preserving subsets of features in high dimensional haptic datasets, is provided. The criteria for comparison are the length of the selected subsets of features and their corresponding discrimination power. Support Vector Machine classifiers are used to evaluate the accuracy of the selected minimal feature vectors. The results demonstrated that the combination of rough set and genetic algorithm techniques can outperform well-established machine learning methods in the selection of minimal subsets of features present in haptic-based handwritten signatures.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114562870","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: 7

An ontological fuzzy Smith-Waterman with applications to patient retrieval in Electronic Medical Records 本体论模糊Smith-Waterman及其在电子病历患者检索中的应用

International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5583953

M. Popescu

引用次数: 10

Evaluating ideal combinations of necktie and Y-shirt by self-organization map for the coordination system 用协调系统的自组织图评价领带与y型衬衫的理想组合

International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584740

Y. Hoshino

引用次数: 0

Filtering false detections of small multiple sclerosis lesions using fuzzy regional analysis 模糊区域分析对多发性硬化症小病变误检的过滤

International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584106

F. X. Aymerich, P. Sobrevilla, E. Montseny, À. Rovira

引用次数: 4

Monotonicity of implicative fuzzy models 隐含模糊模型的单调性

International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584142

M. Štěpnička, B. Baets

引用次数: 21

Applications and comparisons of fuzzy similarity measures 模糊相似性测度的应用与比较

International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584276

Leila Baccour, A. Alimi

引用次数: 20

An observer-based neural adaptive control for rolling cart systems 基于观测器的滚动车系统神经自适应控制

International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584689

Wen-Shyong Yu

{"title":"An observer-based neural adaptive control for rolling cart systems","authors":"Wen-Shyong Yu","doi":"10.1109/FUZZY.2010.5584689","DOIUrl":"https://doi.org/10.1109/FUZZY.2010.5584689","url":null,"abstract":"Rolling cart system is a highly nonlinear phenomenon in which links undergo tipping and rolling with no fixed base. This in turn requires that the system running states be predicted correctly. This paper makes a full analysis of the rolling cart states by applying observer-based adaptive wavelet neural network (OBAWNN) tracking sliding mode control scheme with system uncertainties, multiple time-delayed state uncertainties, and external disturbances. Based on a recurrent adaptive wavelet neural network model for approximating the dynamics of the rolling cart, an observer-based adaptive control scheme is developed to override the nonlinearities, time delays, and external disturbances such that the uniform ultimate boundedness of all signals in the closed loop and the H∞ tracking performance are achieved. The advantage of employing adaptive wavelet neural dynamics is that we can utilize the neuron information by activation functions to on-line tune the parameters of dilation and translation of wavelet basis functions and hidden-to-output weights, and the adaptation parameters to estimate the model uncertainties directly for using linear analytical results instead of estimating nonlinear system functions. Based on Lyapunov criterion and Riccati-inequality, some sufficient conditions are derived so that all states of the system are uniformly ultimately bounded and the effect of the external disturbance on the tracking error can be attenuated to any prescribed level and consequently an H∞ tracking control is achieved. Finally, a numerical example of a rolling cart is given to illustrate the effectiveness of the proposed control scheme.","PeriodicalId":377799,"journal":{"name":"International Conference on Fuzzy Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121702412","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: 3

Stability analysis of discrete type-2 TSK fuzzy systems with interval uncertainty 具有区间不确定性的离散2型TSK模糊系统稳定性分析

International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5583961

S. Jafarzadeh, M. S. Fadali

引用次数: 3

Local Fusion with Fuzzy Integrals 模糊积分的局部融合

International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584061

A. Abdallah, H. Frigui, P. Gader

引用次数: 0

Robust static output feedback fuzzy control design for nonlinear systems with persistent bounded disturbances: A singular value decomposition approach 具有持续有界扰动非线性系统的鲁棒静态输出反馈模糊控制设计:一种奇异值分解方法

International Conference on Fuzzy Systems Pub Date : 2010-07-18 DOI: 10.1109/FUZZY.2010.5584602

C. Tseng, Hwa-Lu Jhi

引用次数: 3