Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Neural Networks
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Two soft relatives of learning vector quantization
Neural Networks
A fuzzy inductive learning strategy for modular rules
Fuzzy Sets and Systems
Processing individual fuzzy attributes for fuzzy rule induction
Fuzzy Sets and Systems
Interactive Pattern Recognition
Interactive Pattern Recognition
Extension Neural Network Based on Immune Algorithm for Fault Diagnosis
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Modeling patent legal value by Extension Neural Network
Expert Systems with Applications: An International Journal
International Journal of Computer Applications in Technology
Using ENN-1 for fault recognition of automotive engine
Expert Systems with Applications: An International Journal
Extension neural network-type 3
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
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In this paper, a novel extension neural network (ENN) is proposed. This new neural network is a combination of extension theory and neural network. It uses an extension distance (ED) to measure the similarity between data and cluster center. The learning speed of the proposed ENN is shown to be faster than the traditional neural networks and other fuzzy classification methods. Moreover, the new scheme has been proved to have high accuracy and less memory consumption. Experimental results from two different examples verify the effectiveness and applicability of the proposed work.