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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.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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