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

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A comparison of fuzzy, state space with direct eigenstructure assignment, and PID controller on linearized MIMO plant model 线性化MIMO对象模型的模糊、状态空间直接特征结构分配与PID控制器的比较
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2008-01-28 DOI: 10.1109/CIMA.2005.1662347
D. Linarić, T. Kostic, V. Koroman
{"title":"A comparison of fuzzy, state space with direct eigenstructure assignment, and PID controller on linearized MIMO plant model","authors":"D. Linarić, T. Kostic, V. Koroman","doi":"10.1109/CIMA.2005.1662347","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662347","url":null,"abstract":"Very often technical systems work very close to stationary working conditions, quasi stationary conditions. For example thermal power plant, steam turbine system mostly working under quasi stationary working conditions. Bearing in mind that fact, the idea is to design control structure optimal for that working conditions. For this purpose, state space controller with direct eigenstructure assignment is designed and compared with fuzzy and PID in Linarie, D., (2002) controller on linearized MIMO model of power plant, steam turbine","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127702884","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
On-line reactor monitoring with neural network for RSG-GAS 基于神经网络的RSG-GAS反应器在线监测
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662354
K. Nabeshima, K. Kurniant, T. Surbakti, S. Pinem, M. Subekti, Y. Minakuchi, K. Kudo
{"title":"On-line reactor monitoring with neural network for RSG-GAS","authors":"K. Nabeshima, K. Kurniant, T. Surbakti, S. Pinem, M. Subekti, Y. Minakuchi, K. Kudo","doi":"10.1109/CIMA.2005.1662354","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662354","url":null,"abstract":"The ANNOMA (artificial neural network of monitoring aids) system is applied to the condition monitoring and signal validation of multi purpose reactor (RSG-GAS) in Indonesia. The feedforward neural network in auto-associative mode learns reactor's normal operational data, and models the reactor dynamics during the initial learning. The basic principle of the anomaly detection is to monitor the deviation between the process signals measured from the actual reactor and the corresponding values predicted by the reactor model, i.e., the neural networks. The pattern of the deviation at each signal is utilized for the identification of anomaly, e.g. sensor failure or system fault. The on-line test results showed that the neural network successfully monitored the reactor status during power increasing and steady state operation in real-time","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"31 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":"126970843","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
Matrix representation and implementation of fuzzy system 模糊系统的矩阵表示与实现
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662336
Z. Miao, Xiangyu Zhao
{"title":"Matrix representation and implementation of fuzzy system","authors":"Z. Miao, Xiangyu Zhao","doi":"10.1109/CIMA.2005.1662336","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662336","url":null,"abstract":"Fuzzy logic is wildly used in many fields in the recent years. It is also the theoretic base of fuzzy control. A novel matrix representation and implementation method is prompted in this paper. The new method employs the concepts of state space which achieved great success in the modern control theory and uses matrix to represent fuzzy models including the fuzzification, inference mechanism, rule base and defuzzification. Some new combining operators for fuzzy logic inference are also defined in this paper. To show the correctness and efficiency of the new method, a nonlinear system is discussed employing the new methods","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"100 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":"115557286","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
Hybrid neural-fuzzy modeling for impact toughness prediction of alloy steels 基于神经-模糊混合模型的合金钢冲击韧性预测
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662335
M.-Y. Chen, D. Linkens
{"title":"Hybrid neural-fuzzy modeling for impact toughness prediction of alloy steels","authors":"M.-Y. Chen, D. Linkens","doi":"10.1109/CIMA.2005.1662335","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662335","url":null,"abstract":"As one of the most important characteristics of structural steels, toughness is assessed by the Charpy V-notch impact test. The absorbed impact energy and the transition temperature defined at a given Charpy energy level are regarded as the common criteria for toughness assessment. This paper aims at establishing generic toughness prediction models which link materials compositions and processing conditions with Charpy impact properties. Hybrid knowledge-based neural-fuzzy modeling techniques which incorporate linguistic knowledge into data-driven neural-fuzzy models have been used to develop the Charpy properties prediction models for thermomechanically controlled rolled (TMCR) steels. Two basic ways of knowledge incorporation are introduced to improve the performance of the obtained fuzzy models. Simulation experiments show that both numeric data and linguistic information can be combined in a unified framework and that both Charpy impact energy and the impact transition temperature (ITT) can be predicted by the same model","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"287 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120929556","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
Color-coating production scheduling in the steel industry 钢铁行业彩色涂料生产调度
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662312
Xianpeng Wang, Lixin Tang
{"title":"Color-coating production scheduling in the steel industry","authors":"Xianpeng Wang, Lixin Tang","doi":"10.1109/CIMA.2005.1662312","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662312","url":null,"abstract":"This paper proposes a new integer programming model and a tabu search heuristics for large-scale scheduling in the iron and steel industry, called color-coating production scheduling (CCPS). The results obtained from real production instances show that the model and heuristics are more effective and efficient with comparison to the manual scheduling","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"288 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":"124079857","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
Learning from genome sequences utilizing computational intelligence 利用计算智能从基因组序列中学习
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662343
J.Y. Yang, M.Q. Yang, O. Ersoy
{"title":"Learning from genome sequences utilizing computational intelligence","authors":"J.Y. Yang, M.Q. Yang, O. Ersoy","doi":"10.1109/CIMA.2005.1662343","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662343","url":null,"abstract":"Advances in genome sequencing technology have led to an exploration in the amount of sequence data available, learning from proteins coded for by genomes is a difficult task. Bioinformatics is thus a burgeoning field that holds great promise for deepening our understanding of biochemical pathways, for understanding the genetic differences between species and how they arose, and for understanding the genetic basis of various disease processes. We developed a method for classification and knowledge discovery in membrane and intrinsic unstructured/disordered proteins (IUP). We analyzed the amino acid compositions and biophysical properties of proteins. Our joint transmembrane and IUP predictor utilized biophysical characterizations, feature generation, feature selection and computational intelligence as well as ensemble methods to improve the accuracies and performances","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"162 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":"127554682","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
Index tracking using a hybrid genetic algorithm 使用混合遗传算法的索引跟踪
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662364
Roland Jeurissen, J. V. D. Berg
{"title":"Index tracking using a hybrid genetic algorithm","authors":"Roland Jeurissen, J. V. D. Berg","doi":"10.1109/CIMA.2005.1662364","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662364","url":null,"abstract":"Assuming the market is efficient, an obvious portfolio management strategy is passive where the challenge is to track a certain benchmark like a stock index. The goal of the passive strategy is to achieve equal returns and risks. In this paper, we investigate an approach for tracking the Dutch AEX index where an optimal tracking portfolio (consisting of a weighted subset of stock funds) is determined. The optimal weights of a portfolio are found by minimizing the tracking error for a set of historical returns and covariances. The overall optimal portfolio is found using a hybrid genetic algorithm where the fitness function of each chromosome (possible subset of stocks) equals the minimal tracking error achievable. We show the experimental setup and the simulation results, including the out-of-sample performance of the optimal tracking portfolio found","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"123 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":"127062144","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: 19
Design of congestion controller for ATM networks via adaptive control law 基于自适应控制律的ATM网络拥塞控制器设计
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662349
A. Riazi, F. Habibipour, M. Galily
{"title":"Design of congestion controller for ATM networks via adaptive control law","authors":"A. Riazi, F. Habibipour, M. Galily","doi":"10.1109/CIMA.2005.1662349","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662349","url":null,"abstract":"Proportional control methods of controlling congestion in high speed ATM networks fail to achieve the desired performance due to the action delays, nonlinearities, and uncertainties in control loop. In this paper an adaptive minimum variance controller is proposed to minimize the rate of stochastic inputs from uncontrollable high priority sources. This method avoids the computations needed for pole placement design of the minimum variance controller, and utilizes an online recursive least squares algorithm in direct tuning of the controller parameters. The closed loop system is adaptive and robust to the uncertain network conditions and provides minimum cell loss ratio, efficient use of network resources, and fair allocation of the available bandwidth through the controlled sources","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"63 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":"133836639","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
Improved tabu search algorithms for storage space allocation in integrated iron and steel plant 基于改进禁忌搜索算法的综合钢铁厂存储空间分配
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662319
Shaohua Li, Lixin Tang
{"title":"Improved tabu search algorithms for storage space allocation in integrated iron and steel plant","authors":"Shaohua Li, Lixin Tang","doi":"10.1109/CIMA.2005.1662319","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662319","url":null,"abstract":"The fact that diversified and enormous materials are usually stored in open yards adds extra difficulty to model and solve the storage space allocation problem in material yards of iron and steel plants. This paper presents a nonlinear mathematical model for such a problem with the objective function of minimizing transportation costs and penalty trigged by the difference between materials and develops improved tabu search algorithms to solve it. These algorithms have two diversification strategies: (1) using an iterated local search strategy based on random kick moves as a method to escape from local optima and the neighborhood of descent heuristic in the iterated local search is generated by cyclic exchange moves; (2) directly using a cyclic exchange move to guide the search to a solution outside the neighborhood of a local optimum. The test with 150 random data sets proves that the tabu search with new diversification strategies is a fast and effective near optimal algorithm to solve such a practical industry problem","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"6 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":"124291882","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
Automatic honeycombing detection using texture and structure analysis 基于纹理和结构分析的自动蜂窝检测
2005 ICSC Congress on Computational Intelligence Methods and Applications Pub Date : 2005-12-15 DOI: 10.1109/CIMA.2005.1662333
James S. J. Wong, T. Zrimec
{"title":"Automatic honeycombing detection using texture and structure analysis","authors":"James S. J. Wong, T. Zrimec","doi":"10.1109/CIMA.2005.1662333","DOIUrl":"https://doi.org/10.1109/CIMA.2005.1662333","url":null,"abstract":"Honeycombing in the lung is an important diagnostic sign for diseases involving fibrosis of the lung. Furthermore, the quantification of honeycombing is needed to determine the severity of the disease. In this paper, we present a novel method of automatically detecting honeycombing regions in high resolution computed tomography images of the lung. We detect potential honeycombing cysts within the lung boundary and cluster them based on Euclidean distance. The texture attributes of the cluster region are then calculated. We also use the regional information of the cluster as honeycombing occurs predominantly in the peripheral region of the lung. This regional information has not been used in any of the literature reported and allows us to distinguish honeycomb cysts from other similar looking structures such as the bronchi. A decision tree is generated using the Weka J48 algorithm, with the training examples supplied by the radiologist. The decision tree is then used in the automatic classification of honeycombing regions. The classification performance is evaluated by comparing against the honeycombing regions provided by the radiologist","PeriodicalId":306045,"journal":{"name":"2005 ICSC Congress on Computational Intelligence Methods and Applications","volume":"39 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":"129361426","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
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