Neural Extensions to Robust Parameter Design

Idioma: inglés

Editorial: Legare Street Press Nov 2012, 2012

1288311583 / 9781288311583

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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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Neuware - Robust parameter design (RPD) is implemented in systems in which a user wants to minimize the variance of a system response caused by uncontrollable factors while obtaining a consistent and reliable system response over time. We propose the use of artificial neural networks to compensate for highly non-linear problems that quadratic regression fails to accurately model. RPD is conducted under the assumption that the relationship between system response and controllable and uncontrollable variables does not change over time. We propose a methodology to find a new set of settings that will be robust to moderate system degradation while remaining robust to noise variables within the system RPD has been well developed on single response problems. Sparse literature exists on dealing with multiple responses in RPD and most methods utilize a subjective weighting scheme. To account for multiple responses, we examine the use of factor analysis on the response data. All the proposed techniques are applied to textbook applications to demonstrate their utility. An Air Force application problem is examined to demonstrate the new technique's potential on a real-world problem that is highly non-linear. The application is a detector developed to detect anomalies within hyper-spectral imagery.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.…

N° de ref. del artículo 9781288311583

Título
Neural Extensions to Robust Parameter Design
Autor
Bernard Jacob Loeffelholz
Editorial
Legare Street Press Nov 2012
Año de publicación
2012
Estado
Neu
Encuadernación
Taschenbuch
Idioma
inglés
ISBN 10
1288311583
ISBN 13
9781288311583
Peso del artículo
251 gramos
Dimensiones
234x156x9 mm

AHA-BUCH GmbH

Einbeck, Alemania

Vendedor de 5 estrellas

Vendedor de IberLibro desde 14 de agosto de 2006

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ArtículoDe 7 a 10 días hábilesDe 5 a 7 días hábiles
Primer artículoEUR 35,00EUR 45,00
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AHA-BUCH GmbH

Garlebsen 48
Einbeck, Alemania 37574