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SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)最新文献

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Adaptive critic control of the power train in a hybrid electric vehicle 混合动力汽车动力系统的自适应临界控制
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) Pub Date : 1999-06-18 DOI: 10.1109/SMCIA.1999.782717
R. Saeks, C. Cox, J. Neidhoefer, D. Escher
{"title":"Adaptive critic control of the power train in a hybrid electric vehicle","authors":"R. Saeks, C. Cox, J. Neidhoefer, D. Escher","doi":"10.1109/SMCIA.1999.782717","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782717","url":null,"abstract":"Summary form only given. An adaptive critic control algorithm is used to control the flow of electric power in the power train of a hybrid electric vehicle. This system consists of a fuel cell which serves as the primary power source, a flywheel/battery to recover regenerative power and provide power for acceleration, and separate motor/generators on each wheel; connected by an inverter which controls the power flow between the various components. The control system for the power train employs an adaptive critic algorithm which is used to control the power flow to and from the fuel cell, battery/flywheel, and motor generators; while optimizing a performance measure designed to meet performance specification with minimal fuel usage.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134221037","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
The combination and prospects of neural networks, fuzzy logic and genetic algorithms 神经网络、模糊逻辑和遗传算法的结合与展望
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) Pub Date : 1999-06-16 DOI: 10.1109/SMCIA.1999.782707
Lin He, Kejun Wang, Hong-Zhong Jin, Guoqiang Li, X.Z. Gao
{"title":"The combination and prospects of neural networks, fuzzy logic and genetic algorithms","authors":"Lin He, Kejun Wang, Hong-Zhong Jin, Guoqiang Li, X.Z. Gao","doi":"10.1109/SMCIA.1999.782707","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782707","url":null,"abstract":"Today, there's a synergy beginning to form among neural nets (NNs), fuzzy logic (FL) and genetic algorithms (GAs). This paper reviews developments in this respect. Many designs of knowledge-based and associated learning systems using the combination of NNs and FL abilities have been presented. Some methods for the integration of GAs with fuzzy systems are described. Afterwards, work on hybrid systems of GAs and NNs is discussed. Finally, some advantages obtained through the fusion of the FL, NNs and GAs are emphasized, and possible ways of combining the three are developed.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122529679","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: 6
Intelligent real-time control of moulding mixture composition in foundries 铸造厂混合成型成分的智能实时控制
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) Pub Date : 1999-06-16 DOI: 10.1109/SMCIA.1999.782718
J. Vorácek
{"title":"Intelligent real-time control of moulding mixture composition in foundries","authors":"J. Vorácek","doi":"10.1109/SMCIA.1999.782718","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782718","url":null,"abstract":"The implementation of an adaptive knowledge-based system in the foundry industry is presented. The problem of moulding mixture composition was solved because the majority of casting defects are due to inappropriate mould quality. The original learning method and system architecture was designed to ensure simple interaction and maintenance of the knowledge base as well as unambiguous interpretation of its content. Elimination of the human factor was achieved with fully automated real-time data acquisition. The method proposed was successfully tested in standard industrial conditions during a period of two years.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124827848","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
Genetic algorithms for tuning PLC loops 遗传算法的PLC回路调谐
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) Pub Date : 1999-06-16 DOI: 10.1109/SMCIA.1999.782708
P. Dadone, H. Vanlandingham
{"title":"Genetic algorithms for tuning PLC loops","authors":"P. Dadone, H. Vanlandingham","doi":"10.1109/SMCIA.1999.782708","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782708","url":null,"abstract":"A common practice is to design a controller by plant observations (i.e. experiments) and to optimize some of its parameters by trial-and-error. This paper proposes a genetic algorithm for the automation of the search procedure and its implementation on a programmable logic controller (PLC). The details of this implementation are discussed, along with an example one carried out for the control of a plant simulation problem introduced by Eastman Chemical Co. The advantage of such an approach consists of automating the search for a good solution. Moreover, the genetic algorithm can be easily programmed in the PLC and reused for different plants with the only need for string encoding and fitness evaluation reprogramming.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121453398","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
Soft computing-based controller design for a telecom rectifier 基于软计算的电信整流器控制器设计
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) Pub Date : 1999-06-16 DOI: 10.1109/SMCIA.1999.782712
I. Gadoura, T. Suntio, K. Zenger, P. Vallittu
{"title":"Soft computing-based controller design for a telecom rectifier","authors":"I. Gadoura, T. Suntio, K. Zenger, P. Vallittu","doi":"10.1109/SMCIA.1999.782712","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782712","url":null,"abstract":"Presents controller design for a telecommunications rectifier based on analogue, digital and fuzzy logic approaches. The required output characteristics contain three modes of operation-constant-voltage, modified constant-power and constant-current. The proposed analogue solution is well proven in practical use and shows excellent performance. The digital solution is simulated and preliminary results predict its applicability. The fuzzy logic solution is outlined for constant-voltage and overload controllers. Preliminary simulations are promising but further optimization must be carried out.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123894923","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: 2
Condition monitoring of storage batteries in telecom power systems-crisp vs. soft computing methodology 电信电力系统中蓄电池的状态监测——清晰vs.软计算方法
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) Pub Date : 1999-06-16 DOI: 10.1109/SMCIA.1999.782715
T. Suntio, P. Waltari, I. Gadoura
{"title":"Condition monitoring of storage batteries in telecom power systems-crisp vs. soft computing methodology","authors":"T. Suntio, P. Waltari, I. Gadoura","doi":"10.1109/SMCIA.1999.782715","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782715","url":null,"abstract":"The storage battery is the most important and decisive component in a telecom DC UPS system, determining its reliability and availability performance. The deployment of valve-regulated lead-acid (VRLA) batteries into telecom networks started an era of unbelievable problems and gradual deterioration of credibility. Battery condition monitoring has become a necessity, and not just a way to boost reliability. The behavior of a storage battery resembles, in many respects, that of human behavior, making it difficult or almost impossible to draw viable conclusions or to predict future behavior from the data obtainable. This paper makes a survey of available methods and problems to assess the state-of-health of VRLA batteries and proposes a suitable method based on soft computing principles.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120959492","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
Bill money classification by competitive learning 通过竞争学习对票据货币进行分类
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) Pub Date : 1999-06-16 DOI: 10.1109/SMCIA.1999.782699
T. Kosaka, S. Omatu
{"title":"Bill money classification by competitive learning","authors":"T. Kosaka, S. Omatu","doi":"10.1109/SMCIA.1999.782699","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782699","url":null,"abstract":"The progress of computer science enables us to process complex and large scale computations and advanced pattern recognition methods can be adopted for pattern classification problems. Among them neuro-pattern recognition, which means pattern recognition based on neural networks, has been given attention since it has classified various patterns like human beings. We adopt the learning vector quantization (LVQ) method to classify money. The reasons for using the LVQ are that it can process unsupervised classification data and treat a large amount of input data with a small computational burden. We construct the LVQ network to classify Italian Lira. Compared with a conventional pattern matching technique, which has been adopted as a classification method, the proposed method has shown excellent classification results.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132764777","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: 10
Neural networks for energy flows prediction in facility systems 设施系统能量流预测的神经网络
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) Pub Date : 1999-06-16 DOI: 10.1109/SMCIA.1999.782713
L. Frosini, G. Petrecca
{"title":"Neural networks for energy flows prediction in facility systems","authors":"L. Frosini, G. Petrecca","doi":"10.1109/SMCIA.1999.782713","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782713","url":null,"abstract":"A procedure for the short-term prediction of the thermal energy consumption of a hospital is shown in this paper. First, linear ARX models are built in order to obtain information on the influence of the input variables on the output of the system. Therefore, nonlinear models based on feedforward neural networks (NNARX) are built using the information provided by the linear estimate. The results obtained from the ARX and NNARX models are compared, concluding that NNARX models provide better results than ARX models, but the analysis of ARX models is necessary to obtain guidelines in the choice of the best regression vector as input for the neural models.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131551165","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: 6
Furnace temperature control with fuzzy microcontroller 用模糊单片机控制炉温
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) Pub Date : 1999-06-16 DOI: 10.1109/SMCIA.1999.782711
Z. Bil, B. Butkiewicz
{"title":"Furnace temperature control with fuzzy microcontroller","authors":"Z. Bil, B. Butkiewicz","doi":"10.1109/SMCIA.1999.782711","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782711","url":null,"abstract":"A new generation of processor, the so-called fuzzy microprocessor, is used to control the temperature in a laboratory furnace. The system consists of the furnace and a control device with an NLX230 fuzzy microcontroller, an 80C522 microcontroller, a clock, RAM and EPROM memories and an LCD. The fuzzy microcontroller works as coprocessor. It is possible to introduce, in an easy way, the mode required for temperature changes during the heating process. In this paper, the design method of the system is described.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134091974","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: 2
Soft computing techniques for intelligent classification system: a case study 智能分类系统的软计算技术:一个案例研究
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) Pub Date : 1999-06-16 DOI: 10.1109/SMCIA.1999.782701
B. Chakraborty, G. Chakraborty
{"title":"Soft computing techniques for intelligent classification system: a case study","authors":"B. Chakraborty, G. Chakraborty","doi":"10.1109/SMCIA.1999.782701","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782701","url":null,"abstract":"Soft computing techniques are becoming popular in designing real world industrial applications. Researchers are trying to integrate different soft computing paradigms such as fuzzy logic, artificial neural network, genetic algorithms etc., to develop hybrid intelligent autonomous systems that provide more flexibility by exploiting tolerance and uncertainty of real life situations. Intelligent classification systems are the most well known attempts. In this work a neuro fuzzy feature selector has been designed which is capable of extracting information in the form of fuzzy rules from numeric as well as non-numeric (linguistic) data. Conventional MLP and a variation of it have been used as the neural models and their performance has been compared by simulation with two different data sets. It is found that the proposed variation of the conventional MLP is better in respect to training time and classification accuracy.","PeriodicalId":222278,"journal":{"name":"SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116777592","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
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