Classification of Graffiti digits by using Computational Intelligence: Several architectures and techniques to optimize the performance of the Neural Networks in the Pattern Recognition
Ali H. Al-Fatlawi
ISBN 10: 3330969369 ISBN 13: 9783330969360
Published by Noor Publishing, 2017
New
Paperback
From
Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
AbeBooks Seller since January 6, 2003
This specific item is no longer available.
About this Item
Description:
96 pages. 8.66x5.91x0.22 inches. In Stock. Seller Inventory # 3330969369
Synopsis:
The technological advances and the massive flood of papers have motivated many researchers and companies to innovate new methods and technologies. They build automatic readers to recognize handwritten documents. In particular, handwriting recognition is very useful technology to support applications like electronic books (eBooks), postcode readers (that sort the mail in post offices), and some bank’s applications. This book proposed systems to discriminate handwritten graffiti digits and some commands with different architectures and abilities. It introduced three classifiers, namely single neural network (SNN) classifier, parallel neural networks (PNN) classifier and tree-structured (TS) classifier. The three classifiers have been designed through adopting feed-forward neural networks. The back-propagation algorithm has been used to optimize the network’s parameters (connection weights). Several architectures are applied and examined to present a comparative study about the three systems from different perspectives.
About the Author: Ali Al-Fatlawi is a researcher in the Information Technology Research and Development Center at University of Kufa since 2009. He has a Master degree from the University of Technology, Sydney (Australia) in field of the Computer Control Engineering. His works focus on investigating technologies and algorithms related to the machine learning.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Classification of Graffiti digits by using ...
Publisher: Noor Publishing
Publication Date: 2017
Binding: Paperback
Condition: Brand New
Top Search Results from the AbeBooks Marketplace
Seller Image
Classification of Graffiti digits by using Computational Intelligence
Print on DemandSeller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Al-Fatlawi Ali H.Ali Al-Fatlawi is a researcher in the Information Technology Research and Development Center at University of Kufa since 2009. He has a Master degree from the University of Technology, Sydney (Australia) in field of. Seller Inventory # 151244215
Buy New
US$ 50.46
US$ 57.54 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Classification of Graffiti digits by using Computational Intelligence | Several architectures and techniques to optimize the performance of the Neural Networks in the Pattern Recognition.
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Classification of Graffiti digits by using Computational Intelligence | Several architectures and techniques to optimize the performance of the Neural Networks in the Pattern Recognition. | Ali H. Al-Fatlawi | Taschenbuch | 96 S. | Englisch | 2017 | Noor Publishing | EAN 9783330969360 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 109197741
Buy New
US$ 52.56
US$ 82.22 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 5 available
Seller Image
Classification of Graffiti digits by using Computational Intelligence
Published by
Noor Publishing Mai 2017, 2017
ISBN 10: 3330969369
ISBN 13: 9783330969360
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The technological advances and the massive flood of papers have motivated many researchers and companies to innovate new methods and technologies. They build automatic readers to recognize handwritten documents. In particular, handwriting recognition is very useful technology to support applications like electronic books ( Elektronisches Buch), postcode readers (that sort the mail in post offices), and some bank¿s applications. This book proposed systems to discriminate handwritten graffiti digits and some commands with different architectures and abilities. It introduced three classifiers, namely single neural network (SNN) classifier, parallel neural networks (PNN) classifier and tree-structured (TS) classifier. The three classifiers have been designed through adopting feed-forward neural networks. The back-propagation algorithm has been used to optimize the network¿s parameters (connection weights). Several architectures are applied and examined to present a comparative study about the three systems from different perspectives.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch. Seller Inventory # 9783330969360
Buy New
US$ 60.38
US$ 70.48 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 1 available
Seller Image
Classification of Graffiti digits by using Computational Intelligence
Published by
Noor Publishing Mai 2017, 2017
ISBN 10: 3330969369
ISBN 13: 9783330969360
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The technological advances and the massive flood of papers have motivated many researchers and companies to innovate new methods and technologies. They build automatic readers to recognize handwritten documents. In particular, handwriting recognition is very useful technology to support applications like electronic books ( Elektronisches Buch), postcode readers (that sort the mail in post offices), and some bank's applications. This book proposed systems to discriminate handwritten graffiti digits and some commands with different architectures and abilities. It introduced three classifiers, namely single neural network (SNN) classifier, parallel neural networks (PNN) classifier and tree-structured (TS) classifier. The three classifiers have been designed through adopting feed-forward neural networks. The back-propagation algorithm has been used to optimize the network's parameters (connection weights). Several architectures are applied and examined to present a comparative study about the three systems from different perspectives. 96 pp. Englisch. Seller Inventory # 9783330969360
Buy New
US$ 60.38
US$ 27.02 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available
Seller Image
Classification of Graffiti digits by using Computational Intelligence : Several architectures and techniques to optimize the performance of the Neural Networks in the Pattern Recognition.
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The technological advances and the massive flood of papers have motivated many researchers and companies to innovate new methods and technologies. They build automatic readers to recognize handwritten documents. In particular, handwriting recognition is very useful technology to support applications like electronic books ( Elektronisches Buch), postcode readers (that sort the mail in post offices), and some bank's applications. This book proposed systems to discriminate handwritten graffiti digits and some commands with different architectures and abilities. It introduced three classifiers, namely single neural network (SNN) classifier, parallel neural networks (PNN) classifier and tree-structured (TS) classifier. The three classifiers have been designed through adopting feed-forward neural networks. The back-propagation algorithm has been used to optimize the network's parameters (connection weights). Several architectures are applied and examined to present a comparative study about the three systems from different perspectives. Seller Inventory # 9783330969360
Buy New
US$ 60.38
US$ 71.43 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 1 available
Stock Image
Classification of Graffiti digits by using Computational Intelligence: Several architectures and techniques to optimize the performance of the Neural Networks in the Pattern Recognition
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock. Seller Inventory # __3330969369
Buy New
US$ 112.96
US$ 13.37 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available