Learning Accuracy from Limited Data

Name: Learning Accuracy from Limited Data
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783836486033
Price: 1173 CZK
Availability: InStock

Using Mega-Fuzzification Method to Improve Small Data Set Learning Accuracy for Early Flexible Manufacturing System Scheduling

Autor: Fengming Chang

Jazyk:

Vazba: Brožovaná

Vydavatel: VDM Verlag Dr. Mueller E.K.

Dostupnost: U nakladatele na objednávku

Odesíláme za 17-27 dnů

1 173 Kč

Many machine learning methods to improve system scheduling have been proposed in the field of artifi...

Informace o knize

Autor

Fengming Chang

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2008

Stránek

EAN

9783836486033

ISBN

3836486032

Enbook ID

06846563

Vydavatel

VDM Verlag Dr. Mueller E.K.

Hmotnost

118

Rozměry

152 x 229 x 4

Kompletní popis

Many machine learning methods to improve system scheduling have been proposed in the field of artificial intelligence. Most of them rely on a large amount of data having been gathered, and knowledge derived from the limited data available in the early manufacturing stages is usually too fragile for a flexible manufacturing system. This causes the accuracy of prediction with regard to the production strategy to be very low. It is therefore a challenging problem to increase the accuracy of predictions derived from early knowledge acquisition. This thesis is aimed at increasing the accuracy of machine learning for FMS scheduling using small data sets. Methodologies proposed include data continualized concept, mega-fuzzification, application of fuzzy theory, and data domain external expansion approach. Also, this thesis considers the data bias phenomenon that often occurs in small data sets and provides a method for its adjustment. Furthermore, a method is proposed to determine the domain external expansion magnitude when data range is unknown. Briefly, the results show that the proposed approaches can increase the learning accuracy in a broad range of applications.

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Learning Accuracy from Limited Data

Using Mega-Fuzzification Method to Improve Small Data Set Learning Accuracy for Early Flexible Manufacturing System Scheduling

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také