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International Conference on Neural Networks

作者： R. Khosla T. Dillon Expert and Intelligent Systems Laboratory Applied Computing Research Institute and Department of Computer Science and Computer Engineering La Trobe University Victoria Canada

In this paper we outline an intelligent hybrid multi-agent architecture for engineering complex systems. The hybrid multi-agent architecture is described at the task structure level. The architecture has been successfully applied in a real time alarm processing and fault diagnosis system in a power system control centre with good performance results.

关键词： systems engineering and theory Computer architecture Hybrid intelligent systems intelligent agent Real time systems Fault diagnosis Power system control Laboratories Computer science Electronic mail

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Fusion of knowledge-based systems and neural networks and applications

Fusion of knowledge-based systems and neural networks and ap...

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International Conference on Knowledge-Based intelligent Electronic systems (KES)

Neural Networks and Symbolic Knowledge-Based systems each have their strengths and weaknesses. intelligent systems that fuse these two paradigms overcome a significant number of the weaknesses of each individual paradigm. There are many different approaches in the literature (including research from the author's own group) to fusing these paradigms. A critical evaluation of these approaches is given within the paper.

关键词： Knowledge based systems Neural networks intelligent networks Humans Artificial neural networks Artificial intelligence Problem-solving Application software intelligent systems Computer networks

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Hybrid BRAINNE: a method for developing symbolic disjunctive rules from a hybrid neural network

Hybrid BRAINNE: a method for developing symbolic disjunctive...

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IEEE International Conference on systems, Man and Cybernetics

作者： W.F. Bloomer T.S. Dillon M. Witten Expert and Intelligent Systems Laboratory Applied Computing Research Institute and School of Computer Science and Computer Engineering La Trobe University Bundoora Australia

A method for learning disjunctive rules using a combination of two existing neural network schemes is proposed. The hybrid network consists of two layers; the first is an unsupervised network while the second is a supervised network. The first layer is used for ordering the inputs of training instances into clusters. Initial rules are extracted from this layer using an existing technique called Unsupervised BRAINNE. These rules are then fed into the second layer which is trained using the delta rule. The second layer is then examined to determine which clusters define the output nodes. This method is able to identify disjunctive rules directly rather than utilising a generate and test paradigm as was used in previous supervised versions of BRAINNE.

关键词： Biological neural networks Unsupervised learning Computer networks Supervised learning Hybrid intelligent systems intelligent networks Laboratories Computer science Testing Humans

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Application of an integrated fuzzy, knowledge-based, connectionistic architecture for fault diagnosis in power systems

Application of an integrated fuzzy, knowledge-based, connect...

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International Conference on intelligent systems Applications to Power systems (ISAP)

作者： S.K. Tang T.S. Dillon R. Khosla Expert & Intelligent Syst. Lab. La Trobe Univ. Bundoora Vic. Australia Expert & Intelligent Systems Laboratory Applied Computing Research Inst and Department of Computer Science and Computer Engineering La Trobe University Bundoora VIC Australia

In this paper, we show the relevance of fuzzy systems in an integrated symbolic-subsymbolic architecture, GENUES (generic neuro-expert system), for information processing. Fuzzy logic is used for modelling knowledge in different phases of the GENUES architecture. As an illustration we show the application of fuzzy logic in the decision phase and post-processing phase of GENUES for power system fault diagnosis.

关键词： Fault diagnosis Fuzzy systems Artificial neural networks Problem-solving Power system faults intelligent systems Power engineering computing Fuzzy logic Knowledge based systems Power system modeling

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Knowledge modeling in integrated symbolic-connectionist systems

Knowledge modeling in integrated symbolic-connectionist syst...

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IEEE International Conference on systems, Man and Cybernetics

作者： R. Khosla T. Dillon Expert and Intelligent Systems Laboratory Applied Computing Research Institute Department of Computer Science and Computer Engineering La Trobe University Melbourne VIC Australia

Knowledge based systems, fuzzy systems, and artificial neural networks (ANN) are the three most widely used computational paradigms for emulating different aspects of human cognition like information processing, knowledge representation, and learning. A proper integration of these three paradigms can help to realize powerful problem solving strategies especially for large data intensive domains. In this direction we have developed a generic architecture for integration of symbolic (knowledge based and fuzzy) and connectionist (ANN) systems for large, data intensive domains at the task structure level, computational (symbol) level, and the program level. In this paper we outline the knowledge modeling aspects of the integrated symbolic (knowledge based and fuzzy)-connectionist architecture. The knowledge content of the architecture can facilitate a problem solver in modeling the knowledge required for using as well as integrating the three intelligent paradigms.

关键词： Artificial neural networks Computer architecture Fuzzy systems Power system modeling Knowledge based systems Computer networks Humans Cognition Information processing Knowledge representation

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Fuzzy logic and knowledge representation in a symbolic-subsymbolic architecture

Fuzzy logic and knowledge representation in a symbolic-subsy...

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International Conference on Neural Networks

作者： S.K. Tang T.S. Dillon R. Khosla Expert & Intelligent Systems Laboratory Applied Computing Research Instituteand Department of Computer Science and Computer Engineering La Trobe University Bundoora VIC Australia

In this paper, we show the relevance of fuzzy systems in an integrated symbolic and subsymbolic architecture for information processing. We also show how fuzzy logic can be used to represent knowledge in the integrated architecture. We end up with an integrated architecture of knowledge based, connectionist and fuzzy systems for information processing and knowledge modelling. The integrated information processing architecture assists the problem solver in determining the relevance of the three computational paradigms, and their strategy for integrating them in problem solving.

关键词： Fuzzy logic Knowledge representation Information processing Computer architecture Fuzzy systems Problem-solving

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SOLUTION OF POWER-SYSTEM PROBLEMS THROUGH THE USE OF THE OBJECT-ORIENTED PARADIGM

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY systems 1994年第3期16卷 157-165页

作者： DILLON, TS CHANG, E Expert and Intelligent Systems Laboratory Applied Computing Research Institute Australia Department of Computer Science and Computer Engineering La Trobe University Bundoora Vic 3083 Australia

The paper presents a description of the state of the art of the application of object-oriented systems to power system problems. It presents a brief resume of the object-oriented concepts. It examines the application in three areas, namely: traditional software applications, database systems and knowledge-based systems. It also looks at all three stages of the use of object-oriented models in these three areas. The three stages are the conceptual model, the software structure model and the implementation model. It provides a set of conclusions as to future areas of applications of the object-oriented paradigm to power systems applications.

关键词： SOFTWARE ENGINEERING DATABASES KNOWLEDGE-BASED systems AND OBJECT-ORIENTED systems

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A distributed real-time intelligent alarm processing system with symbolic-connectionist computation 2

A distributed real-time intelligent alarm processing system ...

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2nd IEEE Workshop Real-Time Applications, RTA 1994

作者： Khosla, R. Dillon, T. Expert and Intelligent Systems Laboratory Applied Computing Research Institute Department of Computer Science and Computer Engineering La Trobe University MelbourneVIC3083 Australia

ISBN: (纸本)0818663758

In this paper we outline the features of a cognitively compatible symbolic-connectionist architecture for complex data intensive time-critical domains especially in the diagnostic area. We examine how a symbolic-connectionist architecture copes with the time-critical and size complexity aspects of a real time alarm processing system developed for a regional power system control centre. © 1994 IEEE.

关键词： Distributed computer systems

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A distributed real-time intelligent alarm processing system with symbolic-connectionist computation

A distributed real-time intelligent alarm processing system ...

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IEEE Workshop on Real-Time Applications

We outline the features of a cognitively compatible symbolic-connectionist architecture for complex data intensive time-critical domains especially in the diagnostic area. We examine how a symbolic-connectionist architecture copes with the time-critical and size complexity aspects of a real time alarm processing system developed for a regional power system control centre.< >

关键词： Real time systems intelligent systems Distributed computing Power systems Power system control Computer architecture Delay Object oriented modeling Humans Laboratories

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Teaching object oriented software engineering within a multiple paradigm context

Teaching object oriented software engineering within a multi...

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Software Education Conference

作者： E. Chang Department of Computer Science and Computer Engineering La Trobe University and Intelligent Systems Laboratory Applied Computing Research Institute

The paper describe the teaching of object-oriented ideas within all four years of a Bachelor of Computer System Engineering and the BSc in Computer Science Degree at La Trobe University. This is taught together with a variety of other traditional approaches. A key element in the teaching of OO is the Software Engineering Project, which is explained in some detail. The teaching is also complicated by a number of different target student populations. This also provides us with an opportunity to study the effect of different factors on the learning of OO by the students. The experience indicates that OO is a significant software engineering paradigm, well accepted by the students.< >

关键词： Education Software engineering systems engineering and theory Computer science Design engineering intelligent systems Computer industry Feedback Computer networks Computer network management

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