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8

IJNCR
2010

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Cognitively Inspired Neural Network for Recognition of Situations

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Cognitively Inspired Neural Network for Recognition of Situations

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we present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). We apply it to learning and recognition of situations composed of objects. NMF successfully overcomes the combinatorial complexity of associating subsets of objects with situations and demonstrates fast and reliable convergence.

Roman Ilin, Leonid I. Perlovsky

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IJNCR 2010 | Mathematical Learning Framework | Neural Modeling Fields | Reliable Convergence |

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Added	05 Mar 2011
Updated	05 Mar 2011
Type	Journal
Year	2010
Where	IJNCR
Authors	Roman Ilin, Leonid I. Perlovsky

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