Infrastructure assessment: Fuzzy regression with neural networks

P. C. Hoffman; K. C. Chou

Infrastructure assessment: Fuzzy regression with neural networks

P. C. Hoffman^*, K. C. Chou

^*Corresponding author for this work

Civil and Environmental Engineering

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

Fuzzy regression and neural networks can be used to make sound highway rehabilitation and repair decisions. This approach entails the creation of an interval model from which a fuzzy model can be generated for enumerating all possible combinations of the parameters needed evaluating the extent of the damage to be repaired. The proposed approach is evaluated and discussed in this paper.

Original language	English (US)
Pages	273-274
Number of pages	2
State	Published - Dec 1 1994
Event	Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA - San Antonio, TX, USA Duration: Dec 18 1994 → Dec 21 1994

Other

Other	Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA
City	San Antonio, TX, USA
Period	12/18/94 → 12/21/94

ASJC Scopus subject areas

Engineering(all)

Cite this

@conference{1174c19ed45746d1baab0ff18c74cf41,

title = "Infrastructure assessment: Fuzzy regression with neural networks",

abstract = "Fuzzy regression and neural networks can be used to make sound highway rehabilitation and repair decisions. This approach entails the creation of an interval model from which a fuzzy model can be generated for enumerating all possible combinations of the parameters needed evaluating the extent of the damage to be repaired. The proposed approach is evaluated and discussed in this paper.",

author = "Hoffman, {P. C.} and Chou, {K. C.}",

year = "1994",

month = dec,

day = "1",

language = "English (US)",

pages = "273--274",

note = "Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA ; Conference date: 18-12-1994 Through 21-12-1994",

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T2 - Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA

AU - Hoffman, P. C.

AU - Chou, K. C.

PY - 1994/12/1

Y1 - 1994/12/1

N2 - Fuzzy regression and neural networks can be used to make sound highway rehabilitation and repair decisions. This approach entails the creation of an interval model from which a fuzzy model can be generated for enumerating all possible combinations of the parameters needed evaluating the extent of the damage to be repaired. The proposed approach is evaluated and discussed in this paper.

AB - Fuzzy regression and neural networks can be used to make sound highway rehabilitation and repair decisions. This approach entails the creation of an interval model from which a fuzzy model can be generated for enumerating all possible combinations of the parameters needed evaluating the extent of the damage to be repaired. The proposed approach is evaluated and discussed in this paper.

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Y2 - 18 December 1994 through 21 December 1994

ER -

Infrastructure assessment: Fuzzy regression with neural networks

Abstract

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ASJC Scopus subject areas

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