Learning Accuracy from Limited Data

Name: Learning Accuracy from Limited Data
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783836486033
Price: 48.41 EUR
Availability: InStock

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

Autor: Fengming Chang

Jazyk:

Väzba: Brožovaná

Vydavateľ: VDM Verlag Dr. Mueller E.K.

Dostupnosť: U vydavateľa na objednávku

Odosielame za 17-27 dní

48.41 €

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

Informácie o knihe

Autor

Fengming Chang

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2008

Stránok

EAN

9783836486033

ISBN

3836486032

Enbook ID

06846563

Vydavateľ

VDM Verlag Dr. Mueller E.K.

Hmotnosť

118

Rozmery

152 x 229 x 4

Kompletný 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

Informácie o knihe

Kompletný popis

Mohlo by vás zaujímať

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež