Optimal performance of a feed-forward network at statistical discrimination tasks

W. Bialek; R. Scalettar; A. Zee

doi:10.1007/BF01023637

Optimal performance of a feed-forward network at statistical discrimination tasks

W. Bialek, R. Scalettar, A. Zee

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Within the context of a particular statistical discrimination task, we make a quantitative comparison between the performance of a feed-forward neural network and the information-theoretic optimal performance. We also address the ability of such networks to generalize and the effect of network architecture on performance.

Original language	English (US)
Pages (from-to)	141-156
Number of pages	16
Journal	Journal of Statistical Physics
Volume	57
Issue number	1-2
DOIs	https://doi.org/10.1007/BF01023637
State	Published - Oct 1989
Externally published	Yes

All Science Journal Classification (ASJC) codes

Statistical and Nonlinear Physics
Mathematical Physics

Keywords

Neural network
information theory
optimal performance
statistical discrimination
visual system

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10.1007/BF01023637

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title = "Optimal performance of a feed-forward network at statistical discrimination tasks",

abstract = "Within the context of a particular statistical discrimination task, we make a quantitative comparison between the performance of a feed-forward neural network and the information-theoretic optimal performance. We also address the ability of such networks to generalize and the effect of network architecture on performance.",

keywords = "Neural network, information theory, optimal performance, statistical discrimination, visual system",

author = "W. Bialek and R. Scalettar and A. Zee",

year = "1989",

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doi = "10.1007/BF01023637",

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AU - Scalettar, R.

AU - Zee, A.

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N2 - Within the context of a particular statistical discrimination task, we make a quantitative comparison between the performance of a feed-forward neural network and the information-theoretic optimal performance. We also address the ability of such networks to generalize and the effect of network architecture on performance.

AB - Within the context of a particular statistical discrimination task, we make a quantitative comparison between the performance of a feed-forward neural network and the information-theoretic optimal performance. We also address the ability of such networks to generalize and the effect of network architecture on performance.

KW - Neural network

KW - information theory

KW - optimal performance

KW - statistical discrimination

KW - visual system

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ER -

Optimal performance of a feed-forward network at statistical discrimination tasks

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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