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    Neuro-fuzzy engineering for spatial information processing 

    Kasabov, Nikola; Purvis, Martin; Zhang, Feng; Benwell, George L
    This paper proposes neuro-fuzzy engineering as a novel approach to spatial data analysis and for building decision making systems based on spatial information processing, and the development of this approach by the authors ...
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    FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition 

    Kasabov, Nikola; Kim, Jaesoo; Watts, Michael; Gray, Andrew
    Fuzzy neural networks have several features that make them well suited to a wide range of knowledge engineering applications. These strengths include fast and accurate learning, good generalisation capabilities, excellent ...
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    Connectionist-based information systems: a proposed research theme 

    Kasabov, Nikola; Purvis, Martin; Sallis, Philip
    General Characteristics of the Theme • Emerging technology with rapidly growing practical applications • Nationally and internationally recognised leadership of the University of Otago • Already established organisation ...
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    Improved learning strategies for multimodular fuzzy neural network systems: a case study on image classification 

    Israel, Steven; Kasabov, Nikola
    This paper explores two different methods for improved learning in multimodular fuzzy neural network systems for classification. It demonstrates these methods on a case study of satellite image classification using 3 ...

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    Kasabov, Nikola (4)
    Purvis, Martin (2)Benwell, George L (1)Gray, Andrew (1)Israel, Steven (1)... View MorePublication Date
    1996 (4)
    Research Type
    Discussion Paper (4)
    Access LevelOpen (4)

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