Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems

24-26 Nov. 1993

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  • Main problems and issues in neural networks application

    Publication Year: 1993
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (111 KB)

    Summary form only given. Some of the specific problems that have been faced by the author in using neural networks in different application areas are outlined. They concern justifying the use of neural nets: the apparent ad hoc nature of the method; the lack of sufficient training data; the lack of an acceptable validation procedure; the need to relate network weights to physical parameters; the w... View full abstract»

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  • Problems in expert systems development

    Publication Year: 1993, Page(s):166 - 167
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (169 KB)

    Summary form only given. The pitfalls of using prototyping and iteration in expert systems development are examined. It is argued that substituting prototyping for a thorough understanding of the process can cause many problems. Moreover, even when the analysis of expertise and the modeling of the domain are placed firmly within the framework of the life cycle, there are still problems with knowle... View full abstract»

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  • Integrating machine learning with knowledge-based systems

    Publication Year: 1993, Page(s):150 - 151
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (130 KB)

    Summary form only given. The integration of expert systems and learning systems that can manipulate the knowledge base appropriately in hybrid systems involving large knowledge bases is discussed. Hybrids of knowledge-based and learning systems with various functionalities are described. The benefits of studying such hybrid systems are examined.<> View full abstract»

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  • Fuzzy sets, fuzzy logic and the goals of artificial intelligence

    Publication Year: 1993
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (61 KB)

    Summary form only given. Investigates some of the goals of artificial intelligence and the limitations of the purely symbolic approach. The integration of diverse theories can result in a more powerful approach to the study of intelligent systems. The use of fuzzy sets for knowledge representation, and of fuzzy logic for inference under uncertainty is illustrated. The advantage of combining fuzzy ... View full abstract»

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  • Design and implementation of video-rate real-time systems incorporating neural networks: experiments and experience

    Publication Year: 1993
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (80 KB)

    Summary form only given. The Hannibal system for video-rate facial feature detection is briefly described. The eventual application of the system is in ultra-low-bit-rate video telephony using model based coding and image generation techniques. The use of a hierarchy of neural nets together with temporal and spatial filters and maximum-likelihood classifiers provides a robust system.<> View full abstract»

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  • Interference and discrimination in trained networks by the backpropagation algorithm

    Publication Year: 1993
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (52 KB)

    Summary form only given. A number of recent simulation studies have shown that when a connectionist net is trained, using backpropagation, to memorize sets of items in sequence and without negative exemplars, newly learned information seriously interferes with old. Three converging methods have been employed to show why and under what circumstances such retroactive interference arises. A geometric... View full abstract»

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  • Is the fusion of fuzzy logic, neuroscience and chaos possible?

    Publication Year: 1993
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (54 KB)

    Summary form only given. Fuzzy linguistic terms, neuroscience, and chaos are defined. It is suggested that the fusion of these three concepts possibly could lead to the construction of a new type of information processing system.<> View full abstract»

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  • 1993 First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems

    Publication Year: 1993, Page(s): 0_1
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    Freely Available from IEEE
  • Simulation of artificial neural networks on the hierarchical network of hypercubes

    Publication Year: 1993, Page(s):120 - 121
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (132 KB)

    Issues related to the suitability of message-passing architectures for simulating neural networks have been examined. Performance analyses of ring, mesh, binary tree, hypercube, hypernet, and extended hypercube architectures for simulating artificial neural networks have been carried out. The studies have revealed that the performance of the extended hypercube (a hierarchical interconnection netwo... View full abstract»

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  • Learning fuzzy rules through neural networks

    Publication Year: 1993, Page(s):137 - 139
    Cited by:  Papers (5)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (276 KB)

    Presents a method for learning fuzzy rules through training a neural network with the backpropagation algorithm. Membership functions for the fuzzy concepts participating in the rules can also be learned through the proposed scheme. The learned fuzzy rules can then be implemented in a fuzzy inference machine, and a function which approximates the real goal function between the independent input va... View full abstract»

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  • Towards a general distributed platform for learning and generalization

    Publication Year: 1993, Page(s):216 - 219
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (332 KB)

    Different learning models employ different styles of generalization on novel inputs. The need for multiple styles of generalization to support a broad application base is discussed. The priority ASOCS (PASOCS) model (priority adaptive self-organizing concurrent system) is presented as a potential platform which can support multiple generalization styles. PASOCS is an adaptive network composed of m... View full abstract»

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  • An analogue neural network using MCM technology

    Publication Year: 1993, Page(s):122 - 125
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB)

    Describes a large analogue neural network implemented using multichip module (MCM) technology to provide interchip connections. An array of eight synapse chips, each containing 2500 synapses, is connected to a neuron chip on an MCM to implement a (150, 100, 50) network containing more than one million transistors. MCM technology enables a higher synapse density to be achieved and benefits which in... View full abstract»

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  • Review of applications of artificial neural networks in biotechnology

    Publication Year: 1993, Page(s):252 - 254
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (228 KB)

    Since 1990 neural networks has been investigated as a tool for use in biotechnology. There is now a very diverse range of applications for using neural networks in biotechnology. Neural networks have received most attention for use in the control and optimization of fermentation systems. The main advantage that neural networks offer biotechnology is that the dynamics of complex biological systems ... View full abstract»

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  • Simplified architecture of a fuzzy inference processor

    Publication Year: 1993, Page(s):140 - 141
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (168 KB)

    The authors show that by treating the inputs of a fuzzy system as fuzzy singletons, the architecture of a fuzzy inference processor (FIP) can be simplified significantly. The design can be implemented using mainly min/max functional blocks and presettable counters. The inference speed of the FIP is improved significantly and is potentially useful for real-time applications of fuzzy reasoning View full abstract»

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  • A mineral deposit modelling and assessment expert system

    Publication Year: 1993, Page(s):270 - 273
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB)

    Presents the design and implementation of a knowledge-based system, the Queensland Mineral Deposit Expert (QMDE). The primary goal of this system is to assist in the modelling and economic assessment of potential mineral deposits in Queensland. The system produces an assessment of a mineral occurrence's affinity to standard deposits for economic characteristics such as grade, current production to... View full abstract»

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  • Connectionist expert systems

    Publication Year: 1993, Page(s):220 - 221
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (160 KB)

    Two realizations of connectionist expert systems (shells) which facilitate building expert systems when raw data and/or expert rules are available are presented. The knowledge base is represented as a neural network trained either by using past data or using rules. The systems facilitate approximate reasoning, creating a user interface or a communication with an object in real time, explanation to... View full abstract»

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  • GSN neural network in hardware

    Publication Year: 1993, Page(s):126 - 129
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (272 KB)

    Describes a VLSI implementation of the GSN (goal seeking neuron) Boolean neural network model in an integrated circuit. The DIANNE (Digital Implementation of Artificial Neural NEtwork) is fully digital and asynchronous, computing 600 million synapses per second. The circuit has a linear growth of performance with the increase of the number of chips in the neural network. The relationship between a... View full abstract»

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  • TRICOACH: a knowledge-based system for triathlons

    Publication Year: 1993, Page(s):255 - 258
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (384 KB)

    A knowledge-based system (KBS) for triathlon coaching is described and compared against similar programs in the area of computerized support for triathlons View full abstract»

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  • A formal description technique for the verification of fuzzy knowledge base redundancy and subsumption

    Publication Year: 1993, Page(s):142 - 145
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB)

    The verification approach used by the author is based on state-controlled Petri nets. It provides a means of representing fuzzy knowledge in production systems and allows for a dynamic checking of knowledge inference through the propagation of transition firings, whose executions are governed by a set of threshold criteria. Proposition theory is derived from reachability markings generated by the ... View full abstract»

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  • A task oriented intelligent tutoring system

    Publication Year: 1993, Page(s):196 - 200
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    The authors present an intelligent tutoring system for a sonar application. The system provides assistance to the student that supports a rich learning interaction and that provides online control of student progress. Providing guidance to learners is an area where AI researchers and computer based training (CBT) researchers can both make vital contributions. The authors have used both technologie... View full abstract»

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  • Combining engineering models with biophysical models to analyze a biological neural network: the electrosensory system of sharks, skates and rays

    Publication Year: 1993, Page(s):8 - 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (228 KB)

    The elasmobranch electrosensory system forms a neural representation of weak electrical field sources in the environment. Electrical noise correlated to the animal's own activity is rejected at an early stage of processing in the brain. The noise rejecting mechanism appears to be a neural analog of an adaptive array filter in the dorsal octavolateral nucleus of the medulla. The authors have applie... View full abstract»

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  • GTKAT: a grounded theory based knowledge acquisition tool for expert systems

    Publication Year: 1993, Page(s):152 - 155
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (372 KB)

    Knowledge acquisition is a crucial problem area in the process of building expert systems. It has been identified as the knowledge engineering bottleneck. To improve the knowledge engineering approach, many lessons could be learned from the grounded theory. Grounded theory provides the knowledge engineer with an important tool for obtaining a faithful reflection of qualitative data derived from hu... View full abstract»

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  • Neural networks and ambiguity in natural language

    Publication Year: 1993, Page(s):102 - 103
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (116 KB)

    An attempt is made to consider the salient issues facing researchers who are examining the problems surrounding the resolution of ambiguity in natural language where computational analysis is performed for interpretative (understanding) purposes. Ambiguity in natural language has been chosen because it continues to be an elusive problem for computational linguistic researchers. No attempt to condu... View full abstract»

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  • The mind's eye: reconstructing noise corrupted objects, extracting secondary structure and figure ground separation

    Publication Year: 1993, Page(s):80 - 85
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB)

    The SLME network is a massively parallel recurrent, iterative, multiple constraint satisfaction neural network. It is capable of learning to solve problems including segmentation and vision tasks. It develops its own knowledge and feature set during iterative training. It consists of a retina of cells that learn their behavior and function during training. The cells are local processors that achie... View full abstract»

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  • Incorporating risk curves into a reservoir management model for irrigation supply

    Publication Year: 1993, Page(s):274 - 278
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    A mathematical framework that incorporates risk attitudes into a management model for a reservoir supplying water to an irrigation district is proposed. The attitudes of the agricultural procedures are captured within a neural network which in turn is embedded into a stochastic dynamic programming (SDP) formulation. Rather than using the expectation of the return function to drive the SDP model, t... View full abstract»

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