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The truth is in there: directions and challenges in extracting rules from trained artificial neural networks (0)

by Alan B Tickle, R Andrews, M Golea, J Diederich
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by Mr. Harold, D. Coleman, Grants Officer, Mr. Nelson, H. Keeler, Nasa Iv, Ken Mcgill, Christina Moats, Brian J. Taylor, Marjorie Darrah , 2002
"... This Report includes data that shall not be disclosed outside the Government and shall not be duplicated, used, or disclosed in whole or in part for any purpose other than to evaluate this Report. This restriction does not limit the right of the Government to use information contained in this Report ..."
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This Report includes data that shall not be disclosed outside the Government and shall not be duplicated, used, or disclosed in whole or in part for any purpose other than to evaluate this Report. This restriction does not limit the right of the Government to use information contained in this Report if it is proprietary data contained herein, if obtained from another source without restriction. The data subject to this restriction are contained in all sheets of this Report. The proprietary data contained herein, if disclosed to the public, would affect ISR’s competitive position in obtaining business; therefore, it is considered to be exempt from public release under the Freedom of Information Act (5 USC §552, as amended), paragraph (b)(4). IVVNN-LITREV-F002-UNCLASS-111202
The National Science Foundation
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