Symbolic representation of neural networks

Rudy Setiono; Huan Liu

doi:10.1109/2.485895

Symbolic representation of neural networks

Rudy Setiono, Huan Liu

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

146 Scopus citations

Abstract

Neural networks often surpass decision trees in predicting pattern classifications, but their predictions cannot be explained. This algorithm's symbolic representations make each prediction explicit and understandable.

Original language	English (US)
Pages (from-to)	71-77
Number of pages	7
Journal	Computer
Volume	29
Issue number	3
DOIs	https://doi.org/10.1109/2.485895
State	Published - Mar 1996
Externally published	Yes

ASJC Scopus subject areas

Hardware and Architecture
Computer Graphics and Computer-Aided Design
Software

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title = "Symbolic representation of neural networks",

abstract = "Neural networks often surpass decision trees in predicting pattern classifications, but their predictions cannot be explained. This algorithm's symbolic representations make each prediction explicit and understandable.",

author = "Rudy Setiono and Huan Liu",

year = "1996",

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pages = "71--77",

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publisher = "IEEE Computer Society",

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Symbolic representation of neural networks

Abstract

ASJC Scopus subject areas

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