図書

Back propagation neural networks for predicting ultimate strengths of unidirectional graphite/epoxy tensile specimens [microform] / James L. Walker, Eric v. K. Hill ([NASA contractor report] ; 207213)

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Back propagation neural networks for predicting ultimate strengths of unidirectional graphite/epoxy tensile specimens [microform] / James L. Walker, Eric v. K. Hill

([NASA contractor report] ; 207213)

Call No. (NDL)
YCA-NAS 1.26:207213
Bibliographic ID of National Diet Library
000006624526
Material type
図書
Author
Walker, James Lほか
Publisher
-
Publication date
1993
Material Format
Microform
Capacity, size, etc.
microfiche ; 11 × 15 cm
NDC
-
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Notes on use

Note (General)：

Shipping list no.: 99-0635Physical description for original version: 1 v

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Microform

Material Type
図書
Title
Back propagation neural networks for predicting ultimate strengths of unidirectional graphite/epoxy tensile specimens [microform] / James L. Walker, Eric v. K. Hill
Series Title
[NASA contractor report] ; 207213
Title Heading
NASA contractor report ; NASA CR-207213
Author Heading
Walker, James L
Hill, Eric v. K
United States. National Aeronautics and Space Administration
Publication Date (W3CDTF)
1993
Extent
microfiche
Size
11 × 15 cm
Place of Publication (Country Code)
US
Text Language Code
eng