Learning Accuracy from Limited Data

Name: Learning Accuracy from Limited Data
Brand: VDM Verlag Dr. Mueller E.K.
SKU: 9783836486033
Price: 17189 HUF
Availability: InStock

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

Szerző: Fengming Chang

Nyelv:

Kötés: Puha kötésű

Kiadó: VDM Verlag Dr. Mueller E.K.

Elérhetőség: Kiadói készleten rendelésre

Küldés 17-27 napon belül

17 189 Ft

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

Információk a könyvről

Szerző

Fengming Chang

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2008

oldal

EAN

9783836486033

ISBN

3836486032

Enbook ID

06846563

Kiadó

VDM Verlag Dr. Mueller E.K.

Súly

118

Méretek

152 x 229 x 4

Teljes leírás

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

Információk a könyvről

Teljes leírás

Érdekelheti

Azok a vásárlók, akik ezt a könyvet megvásárolták, a következőket is megvásárolták