NEURAL NETWORKS AS OPTIMAL INFORMATION PROCESSORS

Alessandro Campa (), Paolo Del Giudice (), Jean-Pierre Nadal and Nestor Parga ()
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Alessandro Campa: Physics Laboratory, Istituto Superiore di Sanità and INFN Sezione Sanità Viale Regina Elena 299, 00161 Roma, Italy
Paolo Del Giudice: Physics Laboratory, Istituto Superiore di Sanità and INFN Sezione Sanità Viale Regina Elena 299, 00161 Roma, Italy
Nestor Parga: Departamento de Fisica Teorica, Universidad Autonoma de Madrid Ciudad Universitaria de Cantoblanco, 28049 Madrid, Spain

International Journal of Modern Physics C (IJMPC), 1994, vol. 05, issue 05, 855-862

Abstract: We explore the properties of a feed-forward neural network whose couplings are chosen in such a way as to maximize the input-output mutual information, in the case in which the input-output channel is affected by noise.

Keywords: Neural Networks; Information Theory; Signal Analysis (search for similar items in EconPapers)
Date: 1994
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DOI: 10.1142/S0129183194000994

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