{"title":"Heuristics for solving fuzzy constraint satisfaction problems","authors":"H. Guesgen, A. Philpott","doi":"10.1109/ANNES.1995.499457","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499457","url":null,"abstract":"Work in the field of AI over the past twenty years has shown that many problems can be represented as constraint satisfaction problems and efficiently solved by constraint satisfaction algorithms. However, constraint satisfaction in its pure form isn't always suitable far real world problems, as they often tend to be inconsistent, which means the corresponding constraint satisfaction problems don't have solutions. A way to handle inconsistent constraint satisfaction problems is to make them fuzzy. The idea is to associate fuzzy values with the elements of the constraints, and to combine these fuzzy values in a reasonable way, i.e., a way that directly corresponds to the way in which crisp constraint problems are handled. The purpose of the paper is to briefly introduce a framework for fuzzy constraint satisfaction problems and to discuss some heuristics for solving then efficiently.","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":"129412561","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}
{"title":"An architecture for understanding human instructions, learning, and planning","authors":"B. MacDonald, J. Baltes, Istvan Hernadi","doi":"10.1109/ANNES.1995.499478","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499478","url":null,"abstract":"This paper presents our ongoing work in building an architecture for instructable systems, along with an illustrative example. The architecture uses knowledge about instruction discourse, planning and induction, to create a task representation that is suitable for execution as well as for planning later tasks. Major components have been built; future work includes putting them together. Our aim is to provide end users with \"expert assistant\" tools for automating their repetitive computer tasks.","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":"129648405","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}
{"title":"Indicators of hidden neuron functionality: the weight matrix versus neuron behaviour","authors":"Tom Gedeon","doi":"10.1109/ANNES.1995.499431","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499431","url":null,"abstract":"Pruning of redundant or less important hidden neurons from the popular backpropagation trained neural networks is useful for a host of reasons, ranging from improvements of generalisation performance, to use as a precursor for rule extraction. For pruning it is necessary to identify hidden neurons with similar functionality. We have previously used a pruning process based on the behaviour of the hidden neurons in an image processing application to produce a quality driven compression by eliminating the least different hidden neurons. We consider the computationally cheaper alternative using only the trained weight matrix of the neural networks at each stage of the compression process. We conclude that the weight matrix is not sufficient for differentiating the functionality of the hidden neurons for this task, being essentially the functional equivalence problem which is computationally intractable.","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":"130164028","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}
{"title":"The development of the Otago speech database","authors":"S. J. Sinclair, C. Watson","doi":"10.1109/ANNES.1995.499493","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499493","url":null,"abstract":"A collection of digits and words, spoken with a New Zealand English accent, has been systematically and formally collected. This collection along with the beginning and end points of the realised phonemes from within the words, comprise the Otago Speech Corpora. A relational database management system has been developed to house the speech data. This system provides much more usability, flexibility and expandibility than file based speech corpora such as TIMIT.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"23 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":"121684903","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}
{"title":"Selection of attributes for modeling Bach chorales by a genetic algorithm","authors":"M. Hall","doi":"10.1109/ANNES.1995.499468","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499468","url":null,"abstract":"A genetic algorithm selected combinations of attributes for a machine learning system. The algorithm used 90 Bach chorale melodies to train models and randomly selected sets of 10 chorales for evaluation. Compression of pitch was used as the fitness evaluation criterion. The best models were used to compress a different test set of chorales and their performance compared to human generated models. GA models outperformed the human models, improving compression by 10 percent.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"198 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":"127310410","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}
{"title":"Experience in developing models of industrial plants by large scale artificial neural networks","authors":"Z. Boger","doi":"10.1109/ANNES.1995.499500","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499500","url":null,"abstract":"Artificial neural networks (ANN) are used for modeling of industrial processes. However, most of the published papers deal with small or medium scale systems. One of the possible reasons, the slow learning or non convergence of large scale networks can now be overcome by the use of non-developed ANN process model may be optimized, after the elimination of non-relevant input and hidden-layer \"neurons\". Causal relationships may be extracted from the ANN process model. This paper describes the experience acquired using these algorithms during the last six years in developing ANN models of industrial plants. Examples are given of an activated-sludge urban wastewater treatment plant and a batch reactor for the production of organic chemicals.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"7 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":"133698982","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}
{"title":"Modelling human cognition: a singular task","authors":"G. Gillett","doi":"10.1109/ANNES.1995.499449","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499449","url":null,"abstract":"Summary form only given. The cognitive literature has debated at some length the rival merits of models in which there are associationist connections and implicit rules and models in which there are explicit, syntactically structured rules. Human cognition represents a singular challenge to both models for reasons that only emerge when we undertake an analysis of the nature of human cognitive adaptation to a world in which natural and social ecology are inextricably interwoven. It is clear that natural language has an important role in human cognition in both shaping and structuring many of the cognitive processes present in competent thinkers. Present studies in cognitive development suggest that an important part of the process is also based on the reactions and responses of adults in the child's presence. It therefore seems that it would be helpful to examine what exactly is produced when a system of semantic and syntactic operations are mastered by a linguistically competent thinker. The investigation begins with an understanding of the nature of thought and the constraints on any good theory of human thought. I try to make plausible the idea that such a theory gives central place to concepts and that these are marked by linguistically significant elements so that word meanings becomes a foundational feature of human thought. I argue that a semantic connection to the environmental conditions typically associated with the use of the work is one of two essential features of word meaning.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"28 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":"133952122","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}
{"title":"Process automation using adaptive fuzzy control","authors":"O. Hammerschmidt, T. Doersam","doi":"10.1109/ANNES.1995.499458","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499458","url":null,"abstract":"In process automation the control of plants with uncertainty or unknown parameters normally requires either a costly identification phase or an intensive fine-tuning of the controller. An easy adaptive fuzzy control is proposed which allows automatic controller tuning during operation with respect to desired closed loop behaviour. This adaptive control was added to the fuzzy kernel of an existing process automation system. Finally, experimental results of a three fingered robot gripper using this adaptive fuzzy control are presented.","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":"133104464","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}
{"title":"Application of artificial neural networks for childhood obesity prediction","authors":"B. Novak, M. Bigec","doi":"10.1109/ANNES.1995.499512","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499512","url":null,"abstract":"The aim of this research is to develop an artificial neural network based system for childhood obesity prediction based on various types of medical and sociological data. If obesity could be predicted it could be prevented in most cases and degenerative and chronic diseases caused by it avoided. A new generation of radial basis function neural network is used to handle this difficult problem successfully.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"20 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":"123357748","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}
A. Strey, N. Avellana, R. Holgado, R. Capillas, J. A. Fernández, E. Valderrama
{"title":"A configurable parallel neurocomputer","authors":"A. Strey, N. Avellana, R. Holgado, R. Capillas, J. A. Fernández, E. Valderrama","doi":"10.1109/ANNES.1995.499438","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499438","url":null,"abstract":"The paper presents the architecture of a new configurable parallel neurocomputer optimized for the high-speed simulation of neural networks. Its main system feature is the reconfigurability of a new arithmetical unit chip which supports several accuracies in all typical neural network operations. If the required accuracy is decreased the degree of parallelism inside the chip can be increased by a dynamical reconfiguration of the hardware resources. The system also offers a good scalability: for the simulation of large neural networks the system performance can easily be increased by using several arithmetical unit chips operating in parallel.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"61 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":"124498722","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}