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|Title:||Learning capabilities of neural networks||Authors:||Huang, Guangbin.||Keywords:||DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence||Issue Date:||1998||Abstract:||Up to now many neural network models have been proposed. In our study we focus on two kinds of feedforward networks: strictly feedforward networks and Kohonen's self-organizing mappings where lateral competition is introduced. The two kinds of feedforward networks have played a fundamental role in neural networks research and application.||URI:||http://hdl.handle.net/10356/13161||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
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