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- Extension neural network is a pattern recognition method found by M. H. Wang and C. P. Hung in 2003 to classify instances of data sets. Extension neural network is composed of artificial neural network and extension theory concepts. It uses the fast and adaptive learning capability of neural network and correlation estimation property of extension theory by calculating extension distance. ENN was used in:
* Failure detection in machinery.
* Tissue classification through MRI.
* Fault recognition in automotive engine.
* State of charge estimation in lead-acid battery.
* Classification with incomplete survey data. (en)
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- Extension neural network is a pattern recognition method found by M. H. Wang and C. P. Hung in 2003 to classify instances of data sets. Extension neural network is composed of artificial neural network and extension theory concepts. It uses the fast and adaptive learning capability of neural network and correlation estimation property of extension theory by calculating extension distance. ENN was used in: (en)
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- Extension neural network (en)
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