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Search Results for Collection: Knowledge Engineering Laboratory
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(Discussion Paper, 1996)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 ... -
(Discussion Paper, 1996)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 ... -
(Discussion Paper, 1996)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 ... -
(Discussion Paper, 1996)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 ...
Now showing items 1-4 of 4