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Neuro-fuzzy engineering for spatial information processing
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 ...
FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition
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 ...
Connectionist-based information systems: a proposed research theme
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 ...
Improved learning strategies for multimodular fuzzy neural network systems: a case study on image classification
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 ...