发布求助
文献互助 智能选刊 最新文献

2005 ICSC Congress on Computational Intelligence Methods and Applications最新文献

筛选
英文 中文
Automated Identifying Intrinsic Unstructured Regions in Proteins - A Software Tool 自动识别内在的非结构化区域在蛋白质-一个软件工具
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662361
J.Y. Yang, M. Qu Yang, Zuojie Luo, O. Ersoy
{"title":"Automated Identifying Intrinsic Unstructured Regions in Proteins - A Software Tool","authors":"J.Y. Yang, M. Qu Yang, Zuojie Luo, O. Ersoy","doi":"10.1109/CIMA.2005.1662361","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662361","url":null,"abstract":"In our attempts to construct methods for automated structural and functional annotation of proteins, the prediction of intrinsically unstructured/disordered protein (IUP) regions, i.e. those with a lack of stable secondary or tertiary structure, has recently gained importance. We developed a software tool for identifying IUP and structured protein regions. The predictor uses both supervised and unsupervised learning techniques and both structural and motional information of amino acids. We demonstrate the effectiveness of our IUP predictor which utilizes feature selection, bootstrapping aggregation, boosting and consensus networking algorithms","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133132978","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: 1
A decoupling control based on the bi-regulation principle of growth hormone 基于生长激素双调控原理的解耦控制
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662297
Bao Liu, Hua Han, Yongsheng Ding
{"title":"A decoupling control based on the bi-regulation principle of growth hormone","authors":"Bao Liu, Hua Han, Yongsheng Ding","doi":"10.1109/CIMA.2005.1662297","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662297","url":null,"abstract":"Since the conventional decoupling algorithms are complicated and difficult to be implemented, we present a bio-imitated decoupling controller based on the bi-regulation principle of growth hormone (GH), and provide its decoupling algorithm. It has two or more control units. Every control unit consists of a control module, a decoupling distributing module, and an output module. These units communicate with each other to exchange control information, and then adjust the actuators harmoniously. The decoupling algorithm is simpler than any other decoupling algorithm, and can be implemented more easily. As a result, the process can be controlled stably, and the coupling influences among the various loops can be removed. Simulation results demonstrate that the decoupling scheme can completely eliminate the coupling influence, and has better control performance","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122980685","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
Automatic birdsong recognition based on autoregressive time-delay neural networks 基于自回归时滞神经网络的鸟鸣自动识别
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662316
S. Selouani, Mustapha Kardouchi, É. Hervet, D. Roy
{"title":"Automatic birdsong recognition based on autoregressive time-delay neural networks","authors":"S. Selouani, Mustapha Kardouchi, É. Hervet, D. Roy","doi":"10.1109/CIMA.2005.1662316","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662316","url":null,"abstract":"A template-based technique for automatic recognition of birdsong syllables is presented. This technique combines time delay neural networks (TDNNs) with an autoregressive (AR) version of the backpropagation algorithm in order to improve the accuracy of bird species identification. The proposed neural network structure (AR-TDNN) has the advantage of dealing with a pattern classification of syllable alphabet and also of capturing the temporal structure of birdsong. We choose to carry out trials on song patterns obtained from sixteen species living in New Brunswick province of Canada. The results show that the proposed AR-TDNN system achieves a highly recognition rate compared to the baseline backpropagation-based system","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116431204","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: 29
A fuzzy multi-criteria decision making model for supplier rating 供应商评级的模糊多准则决策模型
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662350
Hsuan-Shih Lee
{"title":"A fuzzy multi-criteria decision making model for supplier rating","authors":"Hsuan-Shih Lee","doi":"10.1109/CIMA.2005.1662350","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662350","url":null,"abstract":"A key objective of procurement is to purchase the right product from right supplier at right price in due time. In this paper, we are going to propose a fuzzy multi-criteria decision making model to address the problem of identifying right supplier in purchasing process. Fuzzy numbers are introduced to enable evaluators encompass vagueness in the evaluation process of suppliers. With the proposed model, evaluators may give ratings in fuzzy numbers to different suppliers under consideration against postulated criteria, and two indices and a aggregated index would be generated for each supplier so that suppliers can be ranked accordingly","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125333029","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
Classification of coronary artery disease stress ECGs using uncertainty modeling 不确定性模型在冠状动脉疾病应激心电图分类中的应用
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662362
S. Arafat, M. Dohrmann, M. Skubic
{"title":"Classification of coronary artery disease stress ECGs using uncertainty modeling","authors":"S. Arafat, M. Dohrmann, M. Skubic","doi":"10.1109/CIMA.2005.1662362","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662362","url":null,"abstract":"This paper discusses the use of combined uncertainty methods in the diagnosis of coronary artery disease using ECG stress signals. Combined uncertainty computes a composite of two types of uncertainties, fuzzy and probabilistic. First, we introduce basic definitions for fuzzy and probabilistic uncertainty types. Next, the ECG analysis problem is discussed in the context of classifying ECG signals using traditional methods. Three examples of models that compute fuzzy, probabilistic, and combined uncertainty models are introduced in the next section. Our experimental results show that models developed by combined uncertainty produce better results, in terms of ECG signals correct classification percentage, compared to those computed using only fuzzy or probabilistic uncertainty","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125552412","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: 28
An ACO algorithm for graph coloring problem 图着色问题的蚁群算法
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662331
Ehsan Salari, K. Eshghi
{"title":"An ACO algorithm for graph coloring problem","authors":"Ehsan Salari, K. Eshghi","doi":"10.1109/CIMA.2005.1662331","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662331","url":null,"abstract":"Ant colony optimization (ACO) is a well-known metaheuristic in which a colony of artificial ants cooperate in exploring good solutions to a combinatorial optimization problem. In this paper, an ACO algorithm is presented for the graph coloring problem. This ACO algorithm conforms to max-min ant system structure and exploits a local search heuristic to improve its performance. Experimental results on DIMACS test instances show improvements over existing ACO algorithms of the graph coloring problem","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126784436","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: 73
Computational intelligence - a broad initiative in automated learning from sequences 计算智能-从序列中自动学习的广泛倡议
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662326
M.Q. Yang, J.Y. Yang, O. Ersoy
{"title":"Computational intelligence - a broad initiative in automated learning from sequences","authors":"M.Q. Yang, J.Y. Yang, O. Ersoy","doi":"10.1109/CIMA.2005.1662326","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662326","url":null,"abstract":"In our attempts to construct methods for automated structural prediction and annotation of proteins as well as automated drug design and discovery, the identification of structure and function from the primary structure of a protein is an important, but difficult problem. We extract features using biophysical properties of the different amino acids and using the patterns of poly-peptide sequences. Based on these features we construct different predictors for different tasks. We demonstrate that our classifiers compare favorably to existing classifiers, and we experiment with the use of ensemble methods to enhance our predictors' accuracies and explaining powers. We showed the synergy of approaches from computational intelligence and biophysics is powerful. This work has particular relevance for the study of ion-channels, ligand binding sites, and alternative splicing","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129882241","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: 1
Comparison of inverse kinematics solutions using neural network for 6R robot manipulator with offset 基于神经网络的6R机器人机械手运动学逆解比较
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662342
Z. Bingul, H. Ertunc, C. Oysu
{"title":"Comparison of inverse kinematics solutions using neural network for 6R robot manipulator with offset","authors":"Z. Bingul, H. Ertunc, C. Oysu","doi":"10.1109/CIMA.2005.1662342","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662342","url":null,"abstract":"An artificial neural network (ANN) using backpropagation algorithm is applied to solve inverse kinematics problems of industrial robot manipulator. 6R robot manipulator with offset wrist was chosen as industrial robot manipulator because geometric feature of this robot does not allow solving inverse kinematics problems analytically. In other words, there is no closed form solution for this problem. In order to define orientation of robot end-effector, three different representations are used here: homogeneous transformation matrix, Euler angles and equivalent angle axis. These representations were compared to obtain inverse kinematics solutions for 6R robot manipulator with offset wrist. Simulation results show that prediction performance from the approximation accuracy point of view is satisfactory with low effective errors based on 10 degrees data resolution","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126947252","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: 70
Eigenvector methods for automated detection of time-varying biomedical signals 时变生物医学信号自动检测的特征向量方法
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662296
I. Guler, E. D. Ubeyli
{"title":"Eigenvector methods for automated detection of time-varying biomedical signals","authors":"I. Guler, E. D. Ubeyli","doi":"10.1109/CIMA.2005.1662296","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662296","url":null,"abstract":"In this paper, we present the automated diagnostic systems for time-varying biomedical signals classification and determine their accuracies. The combined neural network (CNN) and mixture of experts (ME) were tested and benchmarked for their performance on the classification of the studied time-varying biomedical signals (ophthalmic arterial Doppler signals and electroencephalogram signals). Decision making was performed in two stages: feature extraction by eigenvector methods and classification using the classifiers trained on the extracted features. The purpose was to determine an optimum classification scheme for the problem and also to infer clues about the extracted features. Our research demonstrated that the power levels of power spectral density (PSD) estimations obtained by the eigenvector methods are the valuable features which are representing the time-varying biomedical signals and the CNN and ME trained on these features achieved high classification accuracies","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114724842","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: 1
Computational modelling of the gene expression profile from acute ischaemic brain injury 急性缺血性脑损伤基因表达谱的计算模型
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662330
J. Kola, K. Revett
{"title":"Computational modelling of the gene expression profile from acute ischaemic brain injury","authors":"J. Kola, K. Revett","doi":"10.1109/CIMA.2005.1662330","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662330","url":null,"abstract":"The ensuing events subsequent to cerebral ischaemia are complex and multi-faceted, making it difficult to extract causal relationships between the various pathways that are altered during ischaemia. In this study, we analyse a comprehensive DNA microarray dataset of acute experimental ischaemic stroke, in an effort to elucidate key regulatory elements that participate in the triggering of the pathways that lead to tissue damage. The data suggest that genes responsible for immediate early genes, apoptosis, neurotransmitter receptors (principally glutamate), and inflammation are differentially expressed at various time points subsequent to experimental ischaemia. Using unsupervised clustering (self-organising maps) and gene regulatory networks, we were able to establish a framework within which we could place the resultant gene expression changes into. Although not yet complete, the results from this study indicate that even a complicated pathology such as ischaemia can be analysed in a biologically meaningful way using DNA microarray technology","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122158163","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信