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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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Friction compensation in servo motor systems using neural networks 基于神经网络的伺服电机摩擦补偿
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.1999.782725
X.Z. Gao, S. Ovaska
{"title":"Friction compensation in servo motor systems using neural networks","authors":"X.Z. Gao, S. Ovaska","doi":"10.1109/SMCIA.1999.782725","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782725","url":null,"abstract":"Compensation of negative effects caused by friction in high precision servo control systems is an important and challenging problem. Conventional compensation methods often rely on an explicit friction model, which is difficult to acquire accurately in practice. We propose a neural network-based compensation scheme to cope with this problem. The visible disturbance resulting from friction is first identified by a BP neural network. The friction compensator is constructed by cascading this neural identifier with the inverse model of the motor system. It is shown that our approach has the advantages of simplicity and generality. Moreover, no prior information concerning the friction is needed. Simulations are carried out to demonstrate the efficiency of the proposed method in compensating for deterministic as well as nonlinear friction.","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":"9 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":"114620518","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: 17
A soft computing approach for the design of novel pharmaceuticals 新型药物设计的软计算方法
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.1999.782700
R. Kewley, M. Embrechts, C. Breneman
{"title":"A soft computing approach for the design of novel pharmaceuticals","authors":"R. Kewley, M. Embrechts, C. Breneman","doi":"10.1109/SMCIA.1999.782700","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782700","url":null,"abstract":"The pace of technological advancement in today's society has generated an enormous demand for methods facilitating the intelligent design of new pharmaceuticals, chemical compounds, and materials. The authors have developed computationally intelligent data mining and molecular modeling technologies for the automated design and understanding of complex molecular structures. The Transferable Atom Equivalent methodology for calculating derived molecular properties generates a large set of potential predictors for a set of molecules. Novel neural network based \"data strip mining\" techniques extract predictive models from this set. These models may be used to screen candidate pharmaceuticals prior to expensive and time consuming laboratory testing.","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":"42 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":"122107800","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
A genetic algorithm approach to solve channel assignment problem in cellular radio networks 一种解决蜂窝无线网络信道分配问题的遗传算法
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.1999.782704
G. Chakraborty, B. Chakraborty
{"title":"A genetic algorithm approach to solve channel assignment problem in cellular radio networks","authors":"G. Chakraborty, B. Chakraborty","doi":"10.1109/SMCIA.1999.782704","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782704","url":null,"abstract":"We propose an efficient algorithm for channel assignment problem in cellular radio networks. The task is to assign channels to different cells in a spectrum-efficient way i.e. the minimum frequency band is used and at the same time interference among calls from different cells is avoided. The simplest version of this problem, where only co-channel interference is considered, is NP-complete. We propose a solution based on genetic algorithm approach. The contribution of this paper is twofold. (1) A novel way of generating the initial population which creates near optimum solutions when the population is large is presented. In all the cases we tried the best of these solutions are better or as good as those obtained by existing methods. (2) A genetic mutation operation is defined which improves the quality of the previously obtained initial solutions to an optimum solution. Simulation results are reported.","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":"1 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":"129348835","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: 34
Bayesian neural networks for industrial applications 工业应用的贝叶斯神经网络
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.1999.782709
Aki Vehtari, J. Lampinen
{"title":"Bayesian neural networks for industrial applications","authors":"Aki Vehtari, J. Lampinen","doi":"10.1109/SMCIA.1999.782709","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782709","url":null,"abstract":"Demonstrates the advantages of using Bayesian neural networks in regression, inverse and classification problems, which are common in industrial applications. The Bayesian approach provides a consistent way to perform inference by combining the evidence from data with prior knowledge from the problem. A practical problem with neural networks is to select the correct complexity for the model, i.e. the right number of hidden units or correct regularization parameters. The Bayesian approach offers efficient tools for avoiding overfitting, even with very complex models, and facilitates the estimation of the confidence intervals of the results. In this paper, we review the Bayesian methods for neural networks and present comparison results from case studies in the prediction of the quality properties of concrete (regression), electrical impedance tomography (inverse problem) and forest scene analysis (classification). The Bayesian networks provided consistently better results than other methods.","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":"12 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":"129183921","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
A hidden Markov model-based algorithm for online fault diagnosis with partial and imperfect tests 基于隐马尔可夫模型的部分和不完全测试在线故障诊断算法
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.1999.782716
J. Ying, T. Kirubarajan, K. Pattipati, S. Deb
{"title":"A hidden Markov model-based algorithm for online fault diagnosis with partial and imperfect tests","authors":"J. Ying, T. Kirubarajan, K. Pattipati, S. Deb","doi":"10.1109/SMCIA.1999.782716","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782716","url":null,"abstract":"Presents a hidden Markov model (HMM) based algorithm for online fault diagnosis in complex large-scale systems with partial and imperfect tests. The HMM-based algorithm handles test uncertainties and inaccuracies, finds the best estimate of system states and identifies the dynamic changes in system states, such as from a fault-free state to a faulty one. We also present two methods to estimate the model parameters, namely the state transition probabilities and the instantaneous probabilities of observed test outcomes, for adaptive fault diagnosis. In order to validate the adaptive parameter estimation techniques, we present simulation results with and without the knowledge of HMM parameters. In addition, the advantages of using the HMM approach over a Hamming-distance based fault diagnosis technique are quantified. Tradeoffs in complexity versus performance of the diagnostic algorithm are discussed.","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":"87 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":"126987571","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
Data driven logic: a programming method using data flow diagrams 数据驱动逻辑:一种使用数据流程图的编程方法
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.1999.782706
S. Kawaguchi, H. Shirasu
{"title":"Data driven logic: a programming method using data flow diagrams","authors":"S. Kawaguchi, H. Shirasu","doi":"10.1109/SMCIA.1999.782706","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782706","url":null,"abstract":"A large database of connections between software parts replaces procedural programs to realize a virtually-wired (visual) logic and to eliminate the regular work of programming. Having a knowledge database within a drawing environment allows programmers to easily select program parts using a mouse on the screen. This paper presents the system concept from the viewpoint of soft computing, as well as giving an overview of functional principles, discussing its actual use over the past ten years and raising issues for further study.","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 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131809405","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
Fuzzy logic two-phase traffic signal control for coordinated one-way streets 协调单行道模糊两相交通信号控制
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) Pub Date : 1900-01-01 DOI: 10.1109/SMCIA.1999.782710
J. Niittymaki
{"title":"Fuzzy logic two-phase traffic signal control for coordinated one-way streets","authors":"J. Niittymaki","doi":"10.1109/SMCIA.1999.782710","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782710","url":null,"abstract":"The specific goal of this study was to compare the differences in various traffic signal control algorithms when simulating two consequent one-way intersections with no turning traffic. The opportunities offered by fuzzy logic for controlling traffic are the subject of our FUSICO (FUzzy logic SIgnal group COntrol) research project. The compared algorithms used in the simulations were coordinated fixed-time signal group control, traffic-actuated gap-seeking non-coordinated signal group control, traffic-actuated FUSICO, and a combination of standard traffic-actuated control and a FUSICO controller. This study was our first attempt to use fuzzy methods in coordinated traffic signals; the results were promising. All previous results of the FUSICO project have indicated better overall efficiency than traditional vehicle-actuated control.","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":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129863188","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
Holonic control 子整体控制
SMCia/99 Proceedings of the 1999 IEEE Midnight - Sun Workshop on Soft Computing Methods in Industrial Applications (Cat. No.99EX269) Pub Date : 1900-01-01 DOI: 10.1109/SMCIA.1999.782721
S. Sugiyama
{"title":"Holonic control","authors":"S. Sugiyama","doi":"10.1109/SMCIA.1999.782721","DOIUrl":"https://doi.org/10.1109/SMCIA.1999.782721","url":null,"abstract":"A concept of holonic control is introduced. There are many complex systems which need to be controlled intelligently. We have tried to understand the target system to be controlled clearly, accurately, and precisely. After obtaining this information, systems can be controlled, but this method can result in more complex problems, more time consuming because of the size of a system, and comparatively lower robustnesses. These are used by lack of a flexibility when faced with a sudden change in a system's behaviour, resulting in too much redundancy, and lack of intelligence. So in order to overcome these problems, the concept of holonic control is introduced which always introduces the necessary figures and functions of a system in the whole system to be controlled.","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":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125783627","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
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