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Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems最新文献

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A comparison of two ART-based neural networks for hierarchical clustering 两种基于art的神经网络分层聚类的比较
Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI: 10.1109/ANNES.1995.499445
G. Bartfai
{"title":"A comparison of two ART-based neural networks for hierarchical clustering","authors":"G. Bartfai","doi":"10.1109/ANNES.1995.499445","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499445","url":null,"abstract":"The paper compares two modular neural network architectures, built up of adaptive resonance theory (ART) networks, that can develop stable two-level hierarchical clusterings of arbitrary sequences of binary input patterns. In particular, it contrasts the typical class hierarchies that the networks found on a machine learning benchmark database. It is proposed that the main difference between the two clusterings are the direct consequence of the existence or absence of an internal feedback mechanism and explicit associative links between a higher-level class and its sub-classes.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126659096","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
Automated knowledge acquisition for a fuzzy classification problem 模糊分类问题的自动知识获取
Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI: 10.1109/ANNES.1995.499477
Tim Whitfort, C. Matthews, I. Jagielska
{"title":"Automated knowledge acquisition for a fuzzy classification problem","authors":"Tim Whitfort, C. Matthews, I. Jagielska","doi":"10.1109/ANNES.1995.499477","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499477","url":null,"abstract":"Genetic algorithms and neural networks are useful as automated knowledge acquisition tools for Fuzzy Systems. This paper describes the application of these techniques to a well known classification problem, namely the iris species classification problem. The performance of the resulting fuzzy systems exceed that reported for those derived using alternative methods. Preliminary work indicates that the use of genetic algorithms is the more flexible as it allows the simultaneous acquisition of fuzzy set parameters and fuzzy rules.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133892860","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
Amalgamation of knowledge and data through fuzzy modelling 通过模糊建模实现知识和数据的融合
Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI: 10.1109/ANNES.1995.499487
Clive Marsh, C. McGowan
{"title":"Amalgamation of knowledge and data through fuzzy modelling","authors":"Clive Marsh, C. McGowan","doi":"10.1109/ANNES.1995.499487","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499487","url":null,"abstract":"Typically, two sources of information about a system are available: some artisan knowledge and a sample of input-output data. This paper proposes a method for the amalgamation of these to synthesise a fuzzy model of the system. The artisan knowledge will likely be qualitative, of low resolution and accuracy whilst the data sample noisy and incomplete (not comprehensively covering the whole input space). A model derived from the union of these is potentially superior to one developed from either alone.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"314 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134507950","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
Design of fuzzy controllers for semi-active suspension generated through the genetic algorithm 采用遗传算法生成半主动悬架模糊控制器的设计
Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI: 10.1109/ANNES.1995.499464
T. Hashiyama, T. Furuhashi, Y. Uchikawa
{"title":"Design of fuzzy controllers for semi-active suspension generated through the genetic algorithm","authors":"T. Hashiyama, T. Furuhashi, Y. Uchikawa","doi":"10.1109/ANNES.1995.499464","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499464","url":null,"abstract":"Presents a new method to generate fuzzy controllers through the use of a genetic algorithm (GA). Genetic operations are implemented to determine almost all of the parameters in the fuzzy controllers, such as the input variables, membership functions and fuzzy control rules. These parameters are encoded into the chromosomes. Setting the performance index is the only procedure necessary for the designer of the controllers. A GA with a new local improvement mechanism, which is based on genetic recombination in bacterial genetics, is applied to our method. Comparisons with other conventional GAs are also discussed. To show the effectiveness of our approach, fuzzy controllers for a semi-active suspension system are generated.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134551211","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
Knowledge-based supervisory process control: applying fuzzy sets to blackboard control architecture 基于知识的监督过程控制:模糊集在黑板控制体系结构中的应用
Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI: 10.1109/ANNES.1995.499462
M. Fathi, K. Holte, Christopher P. Lueg, Ralf Scharnetzki
{"title":"Knowledge-based supervisory process control: applying fuzzy sets to blackboard control architecture","authors":"M. Fathi, K. Holte, Christopher P. Lueg, Ralf Scharnetzki","doi":"10.1109/ANNES.1995.499462","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499462","url":null,"abstract":"The blackboard control architecture has proven to be qualified for tasks as complex as supervisory process control. The task structure framework permits a hierarchical decomposition of tasks into subtasks common in the domain of supervisory process control. Qualitative task descriptions based on fuzzy sets grant the integration of the task structure framework while preserving the inherent flexibility of the blackboard control architecture. Fuzzy sets are further qualified to improve the basic control cycle. Linguistic variables allow the specification of control knowledge in a more natural way according to human knowledge.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124449948","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
An improved learning algorithm for the fuzzy ARTMAP neural network 一种改进的模糊ARTMAP神经网络学习算法
Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI: 10.1109/ANNES.1995.499433
G. Bartfai
{"title":"An improved learning algorithm for the fuzzy ARTMAP neural network","authors":"G. Bartfai","doi":"10.1109/ANNES.1995.499433","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499433","url":null,"abstract":"This article introduces two improvements to the learning algorithm of the fuzzy ARTMAP neural network. One of them is concerned with the timing according to which input patterns and their corresponding target output are processed by the network. The other one is the explicit overwriting of an existing association between an input and an output category in case the input is matched perfectly and yet the network's prediction is wrong. Both of these modifications are needed to reduce the occurrence of the \"match tracking anomaly\" (or MTA) during learning, and eliminate MTA altogether in a trained network. As a result, training time is also reduced, which is demonstrated through the performance of the network on a machine learning benchmark database.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123788697","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
Minimal qualitative topologic world models for mobile robot 移动机器人的最小定性拓扑世界模型
Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI: 10.1109/ANNES.1995.499503
U. Zimmer
{"title":"Minimal qualitative topologic world models for mobile robot","authors":"U. Zimmer","doi":"10.1109/ANNES.1995.499503","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499503","url":null,"abstract":"World models for mobile robots as introduced in many projects, are mostly redundant regarding similar situations detected in different places. The present paper proposes a method for dynamic generation of a minimal world model based on these redundancies. The technique is an extention of the qualitative topologic world modelling methods. As a central aspect the reliability regarding error-tolerance and stability is emphasized. The proposed technique demands very low constraints on the kind and quality of the employed sensors as well as for the kinematic precision of the utilized mobile platform. Hard real-time constraints can be handled due to the low computational complexity. The principal discussions are supported by real-world experiments with the mobile robot \"ALICE\".","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"166 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122555354","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
Fuzzy reasoning method for smooth interpolation 平滑插值的模糊推理方法
Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI: 10.1109/ANNES.1995.499454
S. Nakamura, E. Uchino, T. Yamakawa
{"title":"Fuzzy reasoning method for smooth interpolation","authors":"S. Nakamura, E. Uchino, T. Yamakawa","doi":"10.1109/ANNES.1995.499454","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499454","url":null,"abstract":"The paper describes a fuzzy reasoning method whose result belongs to the C/sup 1/ class. The proposed fuzzy reasoning method refers to interpolation by man. We suppose that humans consider two directions while interpolating. A direction of fluctuation at a given point is one, and a direction toward neighboring data is the other. Both directions are reflected in the consequent part of the fuzzy rule. It is not necessary to give them as knowledge, these are only decided as given data pairs. Even if new data is given, if is not necessary to increase a rule. The reasoning result can correspond to new data without increasing a rule. The effectiveness of the present method as verified by applications to practical data and by computer simulations.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128697466","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 tuning method for simulation of dynamic processes 动态过程仿真的模糊整定方法
Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI: 10.1109/ANNES.1995.499461
G. Vachkov
{"title":"Fuzzy tuning method for simulation of dynamic processes","authors":"G. Vachkov","doi":"10.1109/ANNES.1995.499461","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499461","url":null,"abstract":"A new MIMO type (multi-input, multi-output) fuzzy inference procedure for successive identification of a dynamic process of first order is proposed and investigated. It consists of two fuzzy rule bases adjusting the gain K and the time constant T respectively. A special \"soft switching\" procedure called fuzzy switch has been introduced. It calculates at each time instant the activation degree of tuning needed for both fuzzy reasoning procedures. A test plant example has been used for extensive evaluation of the practical applicability of the proposed fuzzy reasoning method.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127509390","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
Integrating vision processing and natural language processing with a clinical application 结合视觉处理和自然语言处理与临床应用
Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI: 10.1109/ANNES.1995.499511
Peter Hall, P. Kevitt
{"title":"Integrating vision processing and natural language processing with a clinical application","authors":"Peter Hall, P. Kevitt","doi":"10.1109/ANNES.1995.499511","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499511","url":null,"abstract":"It is an interesting observation that humans are able to combine information from ostensibly disparate sources in order to better comprehend the world around them. For example, the sense information from the eyes and the ears are combined at every instant-tasks such as road crossing would be far more difficult without such integration. Such combinations are nonlinear in nature, so examining each sense in isolation will not shed light on how they combine within the cognitive frame. We are interested in the way humans combine their visual sense with natural language. This is an important area that appears to be little researched to date, despite the large amount of literature in both vision processing and natural language processing. In response to the nonlinear nature of the combination we proceed by synthesising the phenomenon rather than analysing it. To advance our work we focus upon a particular application that not only makes such a combination feasible but has a practical use in the field of medicine.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114786576","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
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