Innovations in ART Neural Networks

• Corporate Author: SpringerLink (Online service)
• Other Authors: Lazzerini, Beatrice (Editor, http://id.loc.gov/vocabulary/relators/edt), Halici, Ugur (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2000.
• Edition: 1st ed. 2000.
• Series: Studies in Fuzziness and Soft Computing, 43
• Subjects: Artificial intelligence.; Computational complexity.; Information technology.; Business-Data processing.; Artificial Intelligence.; Complexity.; IT in Business.

In the last two decades the artificial neural networks have been refined and widely used by the researchers and application engineers. We have not witnessed such a large degree of evolution in any other artificial neural network as in the Adaptive Resonance Theory (ART) neural network. The ART netwo...