Guidance for the verification and validation of neural networks

This book provides guidance on the verification and validation of neural networks/adaptive systems. Considering every process, activity, and task in the lifecycle, it supplies methods and techniques that will help the developer or V&V practitioner be confident that they are supplying an adaptive...

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Hlavní autor: Pullum, Laura L.
Médium: Kniha
Jazyk:Undetermined
Vydáno: Hoboken, NJ John Wiley & Sons Inc.,IEEE Computer Society c2007
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Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
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001 CTU_164383
008 210402s9999 xx 000 0 und d
020 |c 75.57 
082 |a 006.32 
082 |b P982 
100 |a Pullum, Laura L. 
245 0 |a Guidance for the verification and validation of neural networks 
245 0 |c Laura L. Pullum, Brian J. Taylor, Majorie A. Darrah. 
260 |a Hoboken, NJ 
260 |b John Wiley & Sons Inc.,IEEE Computer Society 
260 |c c2007 
520 |a This book provides guidance on the verification and validation of neural networks/adaptive systems. Considering every process, activity, and task in the lifecycle, it supplies methods and techniques that will help the developer or V&V practitioner be confident that they are supplying an adaptive/neural network system that will perform as intended. Additionally, it is structured to be used as a cross-reference to the IEEE 1012 standard. 
650 |a Neural networks (Computer science),Computer programs,Computer programs,Mạng nơ ron (Máy tính),Chương trình máy tính,Chương trình máy tính 
650 |x Validation,Verification,Mã bảo mật,Sự kiểm tra 
904 |i Năm 
980 |a Trung tâm Học liệu Trường Đại học Cần Thơ