2011 11th International Conference on Intelligent Systems Design and Applications最新文献_第5页

Hybrid RSM-fuzzy modeling for hardness prediction of TiAlN coatings TiAlN涂层硬度预测的混合rsm -模糊模型

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121674

A. Jaya, M. Muhamad, Md. Nizam Abd Rahman, Z. Napiah, S. Hashim, H. Haron

{"title":"Hybrid RSM-fuzzy modeling for hardness prediction of TiAlN coatings","authors":"A. Jaya, M. Muhamad, Md. Nizam Abd Rahman, Z. Napiah, S. Hashim, H. Haron","doi":"10.1109/ISDA.2011.6121674","DOIUrl":"https://doi.org/10.1109/ISDA.2011.6121674","url":null,"abstract":"In this paper, a new approach in predicting the hardness of Titanium Aluminum Nitrite (TiAlN) coatings using hybrid RSM-fuzzy model is implemented. TiAlN coatings are usually used in high-speed machining due to its excellent surface hardness and wear resistance. The TiAlN coatings were produced using Physical Vapor Deposition (PVD) magnetron sputtering process. A statistical design of experiment called Response Surface Methodology (RSM) was used in collecting optimized data. The fuzzy rules were constructed using actual experimental data. Meanwhile, the hardness values were generated using the RSM hardness model. Triangular shape of membership functions were used for inputs as well as output. The substrate sputtering power, bias voltage and temperature were selected as the input parameters and the coating hardness as an output of the process. The results of hybrid RSM-fuzzy model were compared against the experimental result and fuzzy single model based on the percentage error, mean square error (MSE), co-efficient determination (R2) and model accuracy. The result indicated that the hybrid RSM-fuzzy model obtained the better result compared to the fuzzy single model. The hybrid model with seven triangular membership functions gave an excellent result with respective average percentage error, MSE, R2 and model accuracy were 11.5%, 1.09, 0.989 and 88.49%. The good performance of the hybrid model showed that the RSM hardness model could be embedded in fuzzy rule-based model to assist in generating more fuzzy rules in order to obtain better prediction result.","PeriodicalId":433207,"journal":{"name":"2011 11th International Conference on Intelligent Systems Design and Applications","volume":"247 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121506877","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: 8

A study on different backward feature selection criteria over high-dimensional databases 高维数据库中不同后向特征选择准则的研究

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121839

Pablo Bermejo, L. D. L. Ossa, J. A. Gamez, J. M. Puerta

引用次数: 1

Neural network based NARMA controller for a DG in islanding mode 孤岛模式下基于神经网络的风力发电机NARMA控制器

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121652

A. Akbarimajd, B. Sobhani, H. Shayeghi

引用次数: 2

Novel resampling method for the classification of imbalanced datasets for industrial and other real-world problems 用于工业和其他现实世界问题的不平衡数据集分类的新重采样方法

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121689

S. Cateni, V. Colla, M. Vannucci

引用次数: 12

Triclustering on temporary microarray data using the TriGen algorithm 使用TriGen算法对临时微阵列数据进行三聚类

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/isda.2011.6121768

David Gutiérrez-Avilés, Cristina Rubio-Escudero, José Cristóbal Riquelme Santos

引用次数: 2

Machine printed handwritten text discrimination using Radon transform and SVM classifier 基于Radon变换和SVM分类器的机器打印手写体文本识别

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121840

Et-Tahir Zemouri, Y. Chibani

引用次数: 17

Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers 截断指数在监督分类中的混合:朴素贝叶斯和平均一相关估计分类器的案例研究

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121720

M. Flores, J. A. Gamez, Ana M. Martínez, A. Salmerón

{"title":"Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers","authors":"M. Flores, J. A. Gamez, Ana M. Martínez, A. Salmerón","doi":"10.1109/ISDA.2011.6121720","DOIUrl":"https://doi.org/10.1109/ISDA.2011.6121720","url":null,"abstract":"The Averaged One-Dependence Estimators (AODE) classifier is one of the most attractive semi-naive Bayesian classifiers and hence a good alternative to Naive Bayes (NB), as it obtains fairly low error rates maintaining under control the computational complexity. Unfortunately, as most of the methods designed within the framework of Bayesian networks, AODE is exclusively defined to deal with discrete variables. Several approaches to avoid the use of discretization pre-processing techniques have already been presented, all of them involving in lower or greater degree the assumption of (conditional) Gaussian distributions. In this paper, we propose the use of Mixture of Truncated Exponentials (MTEs), whose expressive power to accurately approximate the most commonly used distributions for hybrid networks has already been demonstrated. We perform experiments on the use of MTEs over a large group of datasets for the first time, and we analyze the importance of selecting a proper number of points when learning MTEs for NB and AODE, as we believe, it is decisive to provide accurate results.","PeriodicalId":433207,"journal":{"name":"2011 11th International Conference on Intelligent Systems Design and Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134130759","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: 9

Multi-objective particle swarm optimization for optimal power flow in a deregulated environment of power systems 解除管制环境下电力系统最优潮流的多目标粒子群优化

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121809

F. Zaro, M. Abido

引用次数: 16

The development of temporal-based multimedia data management application using web services 利用web服务开发基于时态的多媒体数据管理应用

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121703

F. Mohamed, Mohd Nordin Abd Rahman, M. Abdullah

引用次数: 8

Comparative study of morphological ECG features classificators: An application on athletes undergone to acute physical stress 形态学心电图特征分类器的比较研究:在运动员急性生理应激中的应用

2011 11th International Conference on Intelligent Systems Design and Applications Pub Date : 2011-11-01 DOI: 10.1109/ISDA.2011.6121662

M. Laurino, Andrea Piarulli, R. Bedini, A. Gemignani, A. Pingitore, A. L'Abbate, A. Landi, P. Piaggi, D. Menicucci

{"title":"Comparative study of morphological ECG features classificators: An application on athletes undergone to acute physical stress","authors":"M. Laurino, Andrea Piarulli, R. Bedini, A. Gemignani, A. Pingitore, A. L'Abbate, A. Landi, P. Piaggi, D. Menicucci","doi":"10.1109/ISDA.2011.6121662","DOIUrl":"https://doi.org/10.1109/ISDA.2011.6121662","url":null,"abstract":"Several methods for automatic heartbeat classification have been developed, but few efforts have been devoted to the recognition of the small ECG changes occurring in healthy people as a response to stimuli. Herein, we describe a procedure for the extraction, selection and classification of features summarizing morphological ECG changes. The proposed procedure is composed by the following stages: 1) extraction of a set of heartbeat morphological features; 2) selection of a subset of features; 3) subject normalization 4) classification. The selection of a subset of features enabled us to summarize ECG changes with only three non redundant features. In addition we performed a comparison between four classificators: k-nearest-neighbors (k-NN), artificial neural networks (ANN), support vector machines (SVM) and naive Bayes classifiers (nB). In order to cope with the possible non linear separation problem, we evaluated two strategies: a subject factor normalization on feature space and the usage of kernel functions for classifiers. The results of the comparison recommended the usage of subject normalization, irrespectively from the classificator: with or without normalization we had the best performance of classification for the linear-SVM and ANN.","PeriodicalId":433207,"journal":{"name":"2011 11th International Conference on Intelligent Systems Design and Applications","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115721669","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: 5