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A proposed architecture for the neural representation of spatial context

โœ Scribed by Kathryn J. Jeffery; Michael I. Anderson; Robin Hayman; Subhojit Chakraborty

Book ID
108218703
Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
599 KB
Volume
28
Category
Article
ISSN
0149-7634

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This paper proposes new neural network architecture for nonlinear system modeling. The traditional modeling methods with neural network have the following problems: (1) difficulty in analyzing the internal representation, namely, the obtained values of the coupling weights, (2) no reproducibility d