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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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Hybrid systems for prediction-a case study of predicting effluent flow to a sewage plant 用于预测的混合系统——一个预测污水厂流出流量的案例研究
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.1995.499485
M. Bailey, N. Kasabov, P. Mason, A. Gray, T. Cohen
{"title":"Hybrid systems for prediction-a case study of predicting effluent flow to a sewage plant","authors":"M. Bailey, N. Kasabov, P. Mason, A. Gray, T. Cohen","doi":"10.1109/ANNES.1995.499485","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499485","url":null,"abstract":"This paper provides a brief introduction to our experiences and results of applying artificial intelligence techniques to the real world problem of predicting inflow to a sewage treatment plant. The basic structure of the plant is described followed by a discussion of how recurrent neural networks may be applied to the problem of predicting systems with diurnal and chaotic components. Next, the software system developed and implemented on the site is presented. A brief discussion on the feasibility of incorporating the prediction module within a hybrid system environment follows. Finally, the possibility of using fuzzy logic for control in similar problems is discussed with reference to some preliminary experiments.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"62 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":"117299070","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: 4
Speech articulatory analysis through time delay neural networks 基于时滞神经网络的语音发音分析
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.1995.499495
F. Lavagetto
{"title":"Speech articulatory analysis through time delay neural networks","authors":"F. Lavagetto","doi":"10.1109/ANNES.1995.499495","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499495","url":null,"abstract":"The approach described is based on the use of time delay neural networks for solving the task of articulatory estimation from acoustic speech and on image vector quantization as far as the visual synthesis is concerned. Once the system has been trained on a reference speaker, the association of visual cues is performed in real time to each 20 ms of incoming speech. Preliminary results are reported with reference to the ongoing experimentation both with normal hearing people and with deaf persons to estimate some of the many perceptual thresholds involved in the complex task of speech reading from synthetic images. This experimental phase is carried on in cooperation with FIADDA, the Italian association of the families of hearing impaired children, and is based on a flexible simulation environment.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"22 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":"126932547","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 comparison of model-based reasoning and learning approaches to power transmission fault diagnosis 基于模型的推理与学习方法在输电故障诊断中的比较
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.1995.499475
R. Rayudu, S. Samarasinghe, D. Kulasiri
{"title":"A comparison of model-based reasoning and learning approaches to power transmission fault diagnosis","authors":"R. Rayudu, S. Samarasinghe, D. Kulasiri","doi":"10.1109/ANNES.1995.499475","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499475","url":null,"abstract":"An application of model-based reasoning and model-based learning to an operative diagnostic domain such as electrical power transmission networks is presented. Most of the research in model-based diagnosis is based on maintenance diagnosis. Operative diagnosis, on the other hand, is done while the system is still in operation even after the fault. We plan to develop an efficient algorithm for operative diagnosis which can handle a large domain of faults and multiple faults in real time. In our search toward a better algorithm, we develop and compare two different reasoning methods: diagnosis based on model based reasoning, and diagnosis based on heuristic rules learnt from model based reasoning. This paper presents the results of the comparison.","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":"126934527","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
Lagrangian method for satisfiability problems of propositional calculus 命题微积分可满足问题的拉格朗日方法
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.1995.499442
M. Nagamatu, T. Yanaru
{"title":"Lagrangian method for satisfiability problems of propositional calculus","authors":"M. Nagamatu, T. Yanaru","doi":"10.1109/ANNES.1995.499442","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499442","url":null,"abstract":"Hopfield type neural networks for solving difficult combinatorial optimization problems have used gradient descent algorithms to solve constrained optimization problems via penalty functions. However, it is well known that the convergence to local minima is inevitable in these approaches. Lagrange programming neural networks have been proposed. They differ from the gradient descent algorithms by using anti-descent terms in their dynamical differential equations. We analyze the stability and the convergence property of the Lagrangian method when it is applied to a satisfiability problem of propositional calculus.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"26 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":"125283857","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
Handling vagueness in information retrieval systems 处理信息检索系统中的模糊性
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.1995.499452
Gloria Bordogna, G. Pasi
{"title":"Handling vagueness in information retrieval systems","authors":"Gloria Bordogna, G. Pasi","doi":"10.1109/ANNES.1995.499452","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499452","url":null,"abstract":"A brief overview of fuzzy approaches dealing with vagueness in information retrieval systems is presented. In particular some extensions of document representation and the query language are described.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"45 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":"116880720","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: 15
A mechanism for the development of feature detecting neurons 特征检测神经元发育的机制
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.1995.499439
F. Peper, H. Noda
{"title":"A mechanism for the development of feature detecting neurons","authors":"F. Peper, H. Noda","doi":"10.1109/ANNES.1995.499439","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499439","url":null,"abstract":"The mammalian retina and visual cortex contain feature detecting neurons with a remarkable similarity to neurons in artificial neural networks for principal component analysis. Hebbian-type learning is one of the mechanisms responsible for the development of such neurons. It does not model, however, control of the number of neurons that develop in response to input. We propose a mechanism that adaptively controls this number. The mechanism utilizes the variances of neurons' outputs and encodes them as the lengths of the neural network's synaptic weight vectors, thus allowing only the synapses of those neurons to develop that represent significant information about the neural network's input and suppressing neurons' synapses that don't.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"119 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":"117274747","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
A fuzzy expert system for hierarchical placement of parts on printed circuit board 印制板零件分层布置的模糊专家系统
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.1995.499504
Toru Yukimatsu, T. Furuhashi, Y. Uchikawa
{"title":"A fuzzy expert system for hierarchical placement of parts on printed circuit board","authors":"Toru Yukimatsu, T. Furuhashi, Y. Uchikawa","doi":"10.1109/ANNES.1995.499504","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499504","url":null,"abstract":"For computer aided design (CAD)/design automation (DA) for printed circuit board (PCB), automatic placement of parts has been a difficult problem. For realizing good placement, not only the structures but also the functions of the circuit should be grasped and some hierarchical methods for the placement should be done. This paper presents a new hierarchical method of placement of parts on the PCB with fuzzification of parts connections. The devices in a circuit are divided into several blocks based on the flows of main signals of the circuit. However it is difficult to judge which device belongs to which block based on only the information included in the CAD data. We propose a method to fuzzify the degrees of belonging of the devices to the blocks. The boundaries of the areas for the blocks are also fuzzified. Each device is placed based on fuzzy areas of blocks, The feasibility of the method is verified using an actual PCB.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"41 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":"124836795","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
NN classifiers: reducing the computational cost of cross-validation by active pattern selection 神经网络分类器:通过主动模式选择减少交叉验证的计算成本
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.1995.499447
F. Leisch, K. Hornik, L. Jain
{"title":"NN classifiers: reducing the computational cost of cross-validation by active pattern selection","authors":"F. Leisch, K. Hornik, L. Jain","doi":"10.1109/ANNES.1995.499447","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499447","url":null,"abstract":"We propose a new approach for leave-one-out cross-validation of neural network classifiers called \"cross-validation with active pattern selection\" (CV/APS). In CV/APS, the contribution of the training patterns to backpropagation learning is estimated and this information is used for active selection of CV patterns. On two artificial examples, the computational cost of CV can be reduced to 25% of the normal costs with only small or no errors.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"142 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":"123593496","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: 4
A neural network model for rainfall estimation 雨量估计的神经网络模型
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.1995.499515
J. McCullagh, K. Bluff, E. Ebert
{"title":"A neural network model for rainfall estimation","authors":"J. McCullagh, K. Bluff, E. Ebert","doi":"10.1109/ANNES.1995.499515","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499515","url":null,"abstract":"This paper investigates the use of an artificial neural network (ANN) to estimate the six hour rainfall over the south-east coast of Tasmania. ANNs are becoming increasingly prominent in many areas of weather forecasting due to their potential to capture the complex relationships between the many factors that contribute to certain weather conditions. The estimations produced by the ANNs were compared to one estimation technique and one forecasting technique used by the Bureau of Meteorology. The results confirm that ANNs have the potential for successful application to the problem of rainfall estimation.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"47 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":"127558138","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: 22
Behavioral control of a robot arm 机械臂的行为控制
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.1995.499505
Russell L. Smith
{"title":"Behavioral control of a robot arm","authors":"Russell L. Smith","doi":"10.1109/ANNES.1995.499505","DOIUrl":"https://doi.org/10.1109/ANNES.1995.499505","url":null,"abstract":"This paper describes a novel trainable controller which extends the feedback-error paradigm of Kawato (1987), called an adaptive trajectory generator. The controller can be adapted so that a controlled system shows a behavior which is specified using heuristic rules. The training algorithm is simple and computationally inexpensive. Its effectiveness is demonstrated with the control of a simulated two-link robot arm to repeatedly throw and catch a ball.","PeriodicalId":123427,"journal":{"name":"Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems","volume":"41 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":"124716216","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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