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About this Item: Condition: Good. Book is in Japanese. We will ship books from Japan. Seller Inventory # BK-4072833282-SH

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About this Item: Condition: Good. Book is in Japanese. We will ship books from Japan. Seller Inventory # BK-4091063691-SH

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About this Item: Condition: Good. Book is in Japanese. We will ship books from Japan. Seller Inventory # BK-4861903645-SH

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About this Item: 2018. SUPER DELUXE EDITION. Condition: New. Antique look with Golden Leaf Printing and embossing with round Spine completely handmade binding(extra customization on request like Color Leather, Colored book, special gold leaf printing etc.) Reprinted in 2018 with the help of original edition published long back [1981]. This book is printed in black & white, sewing binding for longer life, Printed on high quality Paper, re-sized as per Current standards, professionally processed without changing its contents. As these are old books, we processed each page manually and make them readable but in some cases some pages which are blur or missing or black spots. If it is multi volume set, then it is only single volume. We expect that you will understand our compulsion in these books. We found this book important for the readers who want to know more about our old treasure in old look so we brought it back to the shelves. Hope you will like it and give your comments and suggestions. Lang: - eng, Print on Demand. EXTRA 10 DAYS APART FROM THE NORMAL SHIPPING PERIOD WILL BE REQUIRED. (Normal Hardbound Edition is also available on request.) Language: eng. Seller Inventory # SD11012521342

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Fengming Chang

Published by VDM Verlag Dr. Müller E.K. Nov 2013 (2013)

ISBN 10: 3836486032 ISBN 13: 9783836486033

Softcover
New

Quantity Available: 1

From: AHA-BUCH GmbH (Einbeck, Germany)

Seller Rating: 5-star rating

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US$ 58.18
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About this Item: VDM Verlag Dr. Müller E.K. Nov 2013, 2013. Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Neuware - 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. 80 pp. Englisch. Seller Inventory # 9783836486033

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About this Item: Shufunotomo, 2004. Mook. Condition: Good. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!. Seller Inventory # 4072833282

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Fengming Chang

Published by VDM Verlag Dr. Müller (2008)

ISBN 10: 3836486032 ISBN 13: 9783836486033

Used
Softcover

Quantity Available: 1

From: Books Express (Portsmouth, NH, U.S.A.)

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US$ 212.99
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About this Item: VDM Verlag Dr. Müller, 2008. Paperback. Condition: Good. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!. Seller Inventory # 3836486032

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US$ 711.64
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About this Item: Condition: Good. Book is in Japanese. We will ship books from Japan. Seller Inventory # BK-4862332005-SH

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