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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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Constructs for building complex symbolic-connectionist systems

Constructs for building complex symbolic-connectionist syste...

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International Conference on Tools for Artificial Intelligence (ICTAI)

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

In this paper we describe the problem-solving constructs, namely information processing constructs, learning constructs, knowledge representation constructs and computational constructs for building complex symbolic-connectionist systems. These constructs are applicable in particular to complex diagnostic domains and in general to complex data intensive domains.< >

关键词： Buildings Information processing computer architecture Problem-solving Artificial neural networks Knowledge representation Artificial intelligence Communication system control Control systems Logic

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On modifying the weights in a modular recurrent connectionist system

On modifying the weights in a modular recurrent connectionis...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： H. Elsherif M. Hambaba Intelligent Systems Laboratory Electrical Engineering & Computer Science Department Stevens Institute of Technology Hoboken NJ USA

A modular recurrent connectionist architecture is proposed to classify binary and continuous patterns. This system consists of three networks: one feedforward backpropagation (BP) network and two self-organization map (SOM) networks. The feedforward (basic) network is trained until a saturation error level occurs. Simultaneously, the first SOM (input control) network and the last SOM (output control) define the mapping features for the given input/output patterns. The resultant features are used by a Gaussian potential function to adjust the weights of the basic network and to classify the given patterns.< >

关键词： Feedforward systems intelligent systems Laboratories computer science computer architecture Simultaneous localization and mapping Neurons Psychology Hardware Performance evaluation

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Stability of switched and hybrid systems

Stability of switched and hybrid systems

引用

IEEE Conference on Decision and Control

作者： M.S. Branicky Laboratory for Information and Decision Systems Department of Electrical Engineering and Computer Science Center for Intelligent Control Systems Massachusetts Institute of Technology USA

This paper outlines some preliminary work on the stability analysis of switched and hybrid systems. The hybrid systems considered are those that combine continuous dynamics, represented by differential or difference equations, with finite dynamics usually thought of as being a finite automaton. Here, we concentrate on the continuous dynamics and model the finite dynamics as switching among finitely many continuous systems. We introduce multiple Lyapunov functions as a tool for analyzing Lyapunov stability of such "switched systems". We use iterated function systems theory as a tool for Lagrange stability. We also discuss the case where the switched systems are indexed by an arbitrary compact set.< >

关键词： Stability Switched systems Difference equations Differential equations Automata Lyapunov method intelligent control Lagrangian functions Control systems Laboratories

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Data fusion using fuzzy-valued logic

Data fusion using fuzzy-valued logic

引用

IEEE Symposium on intelligent Vehicle

作者： P. Palacharla P.C. Nelson V.P. Sisiopiku Intelligent Vehicle Highway Systems Laboratory Department of Electrical Engineering and Computer Science University of Illinois Chicago Chicago IL USA

Data fusion is an important function of all intelligent vehicle highway systems (IVHS) components. Raw data on traffic conditions are received from various sources, in several formats, and at different time intervals. The goal of data fusion is to combine such data into meaningful inferences about traffic conditions. But it is quite common for these input data to have inconsistencies, uncertainties, and a lack of completeness. Applying binary logic and Bayes decision theory is inappropriate because some contradictions and only partial information are typically present in the input data. This paper presents an alternative approach to data fusion using a fuzzy-valued logic generalized from Belnap's four valued logic.

关键词： Fuzzy logic Databases intelligent vehicles Road transportation Vehicle driving Radio navigation Lattices Laboratories Uncertainty Decision theory

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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

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

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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Automatic tuning of a fuzzy logic controller using neural network

Automatic tuning of a fuzzy logic controller using neural ne...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Wei Li Zuowei Wu H. Janocha National Laboratory of Intelligent Technology and Systems Department of Computer Science Tsinghua University Beijing China Department of Mechanical Engineering Northern Jiaotong University Beijing China Lehrstuhl fiir ProzeSautomatisienmg University of Saarland Saarbruecken Germany

This paper presents a method for automatic tuning of a fuzzy logic controller based on a control scheme which consists of a fuzzy logic controller and a conventional derivative controller. For this purpose, a neural network is first used to represent fuzzy logic inference. Membership functions regarding change-in-error e/spl dot/, which represent the feedback of velocity, are then defined by the functions of cubic splines. A desired control performance of a system is achieved by the adaptation of the defined membership functions using neural network in the self-organizing process. To demonstrate the effectiveness and robustness of the proposed fuzzy neural network control we report a number of simulation results involving both stepping and tracking controls of a nonlinear plant.< >

关键词： Fuzzy logic Automatic control Neural networks Control systems Fuzzy control Fuzzy systems Fuzzy neural networks Three-term control Error correction Optimization methods

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TASK DECOMPOSITION AND COMPETING EXPERT-SYSTEM - ARTIFICIAL NEURAL-NET OBJECTS FOR RELIABLE AND REAL-TIME INFERENCE

TASK DECOMPOSITION AND COMPETING EXPERT-SYSTEM - ARTIFICIAL ...

引用

1993 IEEE INTERNATIONAL CONF ON NEURAL NETWORKS / 2ND INTERNATIONAL CONF ON FUZZY systems

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 Bundoora 3083 VIC Australia

ISBN: (纸本)0780309995

The properties of Artificial Neural Networks(ANNs) like massive parallelism, generalization make them amenable for application in various diagnostic/time-critical problem domains including alarm processing in power systems. However, enormous size of power systems haB inhibited real time use of ANNs. In this paper, we apply an integrated model for real time alarm processing in a real world terminal power station. The integrated model is a combination of a generic neuro-expert system model, object model, and unix operating system process(UOSP) model. We show how the massive parallelism and fast execution features of ANNs help us to cope with real-time system constraints like data variability and fast response time. For further enhancing reliability we propose a practical use of competing ES-ANN objects. © 1993 IEEE.

关键词： Neural networks

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A modular neural network architecture for pattern classification 3

A modular neural network architecture for pattern classifica...

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1993 3rd IEEE-SP Workshop on Neural Networks for Signal Processing, NNSP 1993

作者： Elsherif, H. Hambaba, M. Intelligent Systems Laboratory Electrical Engineering and Computer Science Department Stevens Institute of Technology HobokenNJ07030 United States

ISBN: (纸本)0780309286

A modular neural network architecture is proposed to classify binary and continuous patterns. This system consists of a supervised feedforward backpropagation network and an unsupervised self-organization map network. The supervised feedforward (basic) network is trained until a saturation error level occurs. Simultaneously, the unsupervised self-organization map (control) network fluids the mapping features for the given input/output patterns. The resultant features are used by Gaussian and linear functions to adjust the hidden and the output weights of the basic network and to classify the given patterns. © 1993 IEEE.

关键词： Network architecture

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Vehicle-based route planning in advanced traveler information systems

Vehicle-based route planning in advanced traveler informatio...

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1993 intelligent Vehicles Symposium, IV 1993

作者： Nelson, P.C. Lain, C. Dillenburg, J. Intelligent Vehicle Highway Systems Laboratory Department of Electrical Engineering and Computer Science University of Illinois at Chicago ChicagoIL60680 United States

ISBN: (纸本)0780313704

A primary function of most advanced traveler information systems involves the ability to plan optimal routes. Although the route planning ability of ATIS systems could be facilitated using centralized computing resources, most ATIS systems currently in development use in-vehicle computational resources. The primary advantage of this type of approach is fault tolerance;vehicles can continue to plan routes even in the absence of a centralized computing center. However, there are significant challenges associated with planning routes using in-vehicle electronics. These challenges are a result of trying to keep the cost of the invehicle electronics to a reasonable level. Thus, the route planning algorithm must be both space and time efficient. Test results comparing various heuristic search algorithms to each other and to traditional route planning algorithms are presented. Among the heuristic search algorithms tested are two memory limited algorithms, MA∗ and MREC, which are particularly suited for this problem domain. The test results show that heuristic search algorithms are more efficient route planners than shortest path algorithms. © 1993 IEEE.

关键词： Vehicles

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