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

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The future of associative learning 联想学习的未来
J. Andreae
{"title":"The future of associative learning","authors":"J. Andreae","doi":"10.1109/ANNES.1995.499470","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499470","url":null,"abstract":"Research into associative learning has been under taboo within AI for more than three decades. The author argues that the prospects of associative learning are too good for this to be allowed to continue. He discusses the development of STeLLA learning robot, PURR-PUSS system and the application of the CMAC neural network.","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":"125583735","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
Conceptual distance of numerically specified case features 数字指定案例特征的概念距离
W. Dubitzky, A. Schuster, J. Hughes, D. Bell
{"title":"Conceptual distance of numerically specified case features","authors":"W. Dubitzky, A. Schuster, J. Hughes, D. Bell","doi":"10.1109/ANNES.1995.499473","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499473","url":null,"abstract":"Case-based reasoning (CBR) systems rely on the conceptual ordering of entities called cases. If atomic case features are allowed to assume numeric as well as symbolic values, then a systematic comparison regime is needed to aggregate similarity scores. A common approach to deal with real-numbered features is normalisation. However, there are two conspicuous problems with this procedure: the similarity between two features is dependent on the corresponding values of all other cases to be ranked; and real-numbered features are often interpreted by human experts according to conceptual constraints associated with features. In such situations, a conceptual distance between two features should be determined rather than the length of a 'gap' on a linear scale. Within the framework of a comprehensive case-knowledge architecture, the notion of a concept frame that can be associated with a case feature is proposed. Through this component it is possible to represent polymorphic atomic case features, and to systematically establish the concept distance between two real-numbered feature instances.","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":"129222975","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
Application of multiple genetic algorithm processor in complex systems 多重遗传算法处理器在复杂系统中的应用
M. Salami, G. Cain
{"title":"Application of multiple genetic algorithm processor in complex systems","authors":"M. Salami, G. Cain","doi":"10.1109/ANNES.1995.499467","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499467","url":null,"abstract":"We describe the application of a hardware genetic algorithm processor to handle the adaptive IIR filter problem. We have analysed a variety of configurations including varying the string word length and the introduction of multiple processor configurations. Results show that multiple genetic algorithm processor configurations work better than other configurations with lesser complexity. It is possible to apply multiple configurations to more complex problems.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"16 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":"121493455","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
Intelligent human computer interfaces and the case study of building English-to-Maori talking dictionary 智能人机界面及建立英语-毛利语对话词典的案例研究
N. Kasabov, S. J. Sinclair, R. Kilgour, C. Watson, Mark R. Laws, D. Kassabova
{"title":"Intelligent human computer interfaces and the case study of building English-to-Maori talking dictionary","authors":"N. Kasabov, S. J. Sinclair, R. Kilgour, C. Watson, Mark R. Laws, D. Kassabova","doi":"10.1109/ANNES.1995.499492","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499492","url":null,"abstract":"The paper presents a general engineering model of a hybrid system for speech recognition and information retrieval. The speech recognition part consists of a low level neural network module for phoneme recognition and a higher level fuzzy reasoning module for word recognition and language modelling. There are several features such systems are characterised by, namely: adaptability, i.e. the system is adaptable to new speakers and accents; dealing with ambiguity during the recognition process; extendability, i.e. new modules can be introduced to the system at a later stage and the dictionary is extendable. A case study of building an experimental English to Maori talking dictionary for a small dictionary of words and speaker independent mode is reported.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"15 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":"124396294","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: 14
Fuzzy logic in DBMSs and querying dbms和查询中的模糊逻辑
J. Kacprzyk
{"title":"Fuzzy logic in DBMSs and querying","authors":"J. Kacprzyk","doi":"10.1109/ANNES.1995.499451","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499451","url":null,"abstract":"We briefly survey main developments and issues related to the use of (broadly perceived) fuzzy logic in database management systems (DBMSs), in particular in database querying. We show how this can help make DBMSs and their usage easier and more human-consistent.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"13 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":"116799125","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: 18
Connectionist learning using an optical thin-film model 使用光学薄膜模型的联结学习
M. Purvis, Xiaodong Li
{"title":"Connectionist learning using an optical thin-film model","authors":"M. Purvis, Xiaodong Li","doi":"10.1109/ANNES.1995.499440","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499440","url":null,"abstract":"An alternative connectionist architecture to the one based on the neuroanatomy of biological organisms is described. The proposed architecture is based on an optical thin film multilayer model, with the thicknesses of thin film layers serving as adjustable 'weights' for the computation. The nature of the model and some example calculations that exhibit behaviour typical of conventional connectionist architectures are discussed.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"25 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":"115711114","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 cooperative decision-making for advanced manufacturing systems 先进制造系统的智能协同决策
S. Nahavandi
{"title":"Intelligent cooperative decision-making for advanced manufacturing systems","authors":"S. Nahavandi","doi":"10.1109/ANNES.1995.499498","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499498","url":null,"abstract":"The paper addresses the problems involved in the control of advanced manufacturing systems. An intelligent auction based distributed decision making system is developed for the control of activities at the factory and cell level within the advanced manufacturing system. It utilises the hybrid control system, taking advantages offered by both hierarchical and heterarchical control structures. Such a system has proved to have greater fault tolerance of unforeseen events. Assignment of operations to various machines are not performed according to a prescribed schedule, rather decisions are made in real time as to what machine will process what task leading to the term real time scheduling.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"2015 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":"127314951","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
Neural networks approach to rule extraction 神经网络方法的规则提取
M. Ishikawa
{"title":"Neural networks approach to rule extraction","authors":"M. Ishikawa","doi":"10.1109/ANNES.1995.499427","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499427","url":null,"abstract":"There have been various studies on rule extraction from data such as ID3 in machine learning. Recently rule extraction, using neural networks is attracting wide attention because of its simplicity and flexibility. This is however, very hard due mainly to distributed representations on hidden layers. A basic idea of rule extraction, proposed here is the elimination of unnecessary connections by a structural learning with forgetting (SLF). The proposed rule extraction is based solely on data, i.e., without initial theories and preprocessing. To evaluate its effectiveness, SLF as well as BP learning and ID3 are applied to a classification of mushrooms, a MONKS problem and a promotor recognition in DNA sequences.","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":"125411385","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 simple method for constructing and evaluating chain-rule propagation algorithms 构造和评估链式规则传播算法的一种简单方法
Russell L. Smith
{"title":"A simple method for constructing and evaluating chain-rule propagation algorithms","authors":"Russell L. Smith","doi":"10.1109/ANNES.1995.499434","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499434","url":null,"abstract":"This paper provides some insight into the gradient based training of adaptive dynamic systems such as recurrent neural networks or neural network based controllers. In the neural network literature, training algorithms for such systems are generally of two types: those which propagate derivative information forwards in time, and those which propagate it backwards. These two types of algorithm are derived and analyzed for a simple prototype system. It is shown that they are very closely related because they compute the same components of the gradient vector but in a different order. The well known computational properties of each algorithm are then explained using a simple matrix multiplication analogy. Extensions of the prototype to control systems are demonstrated.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"21 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":"127778612","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
Compliance with complex agricultural policy: the Premia Management Plan system 符合复杂的农业政策:溢价管理计划制度
M. Mulvenna, J. Hughes
{"title":"Compliance with complex agricultural policy: the Premia Management Plan system","authors":"M. Mulvenna, J. Hughes","doi":"10.1109/ANNES.1995.499513","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499513","url":null,"abstract":"The development of knowledge based systems and decision support systems that provide advice on policy, law and legislation is still in its infancy. Such systems require a degree of expertise to be embedded within them. This paper describes the process of development of a compliance system that interprets a subset of the rules and regulations of the European Community's Common Agricultural Policy (CAP), which is one of the most contentious pieces of wide-ranging and complex legislation in the world. The CAP legislation in Northern Ireland is complex and farmers find it difficult to interpret. For this reason a knowledge based solution was developed and implemented. The finished system illustrates the usability of high-level object-oriented development tools in the development of flexible knowledge based software.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"34 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":"121636627","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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