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Comp. Study and Imp. of BAM and Multilayer Error BPN for Char Recogni.: Comparative Study and Implemen. of Bidirectional Asso. Memory and Multilayer Error Back-Propagation Net for Char Recogni - Softcover
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The overall research work contains a number of procedural steps. Such as converting a black and white image to grayscale and various image processing steps, learning a pattern using Back-propagation Neural Network (BPN) and Bidirectional Associative Memory (BAM) recognize a existing or non-existing pattern from the learned pattern using BAM and BPN technique. All the steps of image processing and feature detection steps are performed and coded by the programming language Matlab provided by the Matwork Inc. Primary operation of Matlab is to acquire an image from the storage disk which is stored in a specific format and process the image. One of the most important factors of the research work is Feature Extraction which is implemented by Matlab. Then the processed pattern is stored in a file such that the file can be processed by another procedure. In pattern learning BPN and BAM is used. The parameters of the learning algorithm are varied and observed the nature of the system. From pattern learning, we get a weight set and correlation matrix which is used in recognition.
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Comp. Study and Imp. of BAM and Multilayer Error BPN for Char Recogni.
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ISBN 13: 9786202524483
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The overall research work contains a number of procedural steps. Such as converting a black and white image to grayscale and various image processing steps, learning a pattern using Back-propagation Neural Network (BPN) and Bidirectional Associative Memory (BAM) recognize a existing or non-existing pattern from the learned pattern using BAM and BPN technique. All the steps of image processing and feature detection steps are performed and coded by the programming language Matlab provided by the Matwork Inc. Primary operation of Matlab is to acquire an image from the storage disk which is stored in a specific format and process the image. One of the most important factors of the research work is Feature Extraction which is implemented by Matlab. Then the processed pattern is stored in a file such that the file can be processed by another procedure. In pattern learning BPN and BAM is used. The parameters of the learning algorithm are varied and observed the nature of the system. From pattern learning, we get a weight set and correlation matrix which is used in recognition. 84 pp. Englisch. Seller Inventory # 9786202524483
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Comp. Study and Imp. of BAM and Multilayer Error BPN for Char Recogni.: Comparative Study and Implemen. of Bidirectional Asso. Memory and Multilayer Error Back-Propagation Net for Char Recogni
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Comp. Study and Imp. of BAM and Multilayer Error BPN for Char Recogni.: Comparative Study and Implemen. of Bidirectional Asso. Memory and Multilayer Error Back-Propagation Net for Char Recogni
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Comp. Study and Imp. of BAM and Multilayer Error BPN for Char Recogni. : Comparative Study and Implemen. of Bidirectional Asso. Memory and Multilayer Error Back-Propagation Net for Char Recogni
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The overall research work contains a number of procedural steps. Such as converting a black and white image to grayscale and various image processing steps, learning a pattern using Back-propagation Neural Network (BPN) and Bidirectional Associative Memory (BAM) recognize a existing or non-existing pattern from the learned pattern using BAM and BPN technique. All the steps of image processing and feature detection steps are performed and coded by the programming language Matlab provided by the Matwork Inc. Primary operation of Matlab is to acquire an image from the storage disk which is stored in a specific format and process the image. One of the most important factors of the research work is Feature Extraction which is implemented by Matlab. Then the processed pattern is stored in a file such that the file can be processed by another procedure. In pattern learning BPN and BAM is used. The parameters of the learning algorithm are varied and observed the nature of the system. From pattern learning, we get a weight set and correlation matrix which is used in recognition. Seller Inventory # 9786202524483
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Comp. Study and Imp. of BAM and Multilayer Error BPN for Char Recogni.: Comparative Study and Implemen. of Bidirectional Asso. Memory and Multilayer Error Back-Propagation Net for Char Recogni
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Comp. Study and Imp. of BAM and Multilayer Error BPN for Char Recogni.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tarafder Md. Mainur RahmanEngr. Mainur Rahman Tarafder. B.Sc. Engg. in CSE(RUET). M.Engg in ICT.BUET(Member of IEOM,Life Fellow of BCS,Member of IEB, Life Member BUET Alumni,LM REOSA,Member of ISOC(GLOBAL),Fellow Member of IAENG,Life. Seller Inventory # 385946157
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Comp. Study and Imp. of BAM and Multilayer Error BPN for Char Recogni.
Published by
LAP LAMBERT Academic Publishing Apr 2020, 2020
ISBN 10: 6202524480
ISBN 13: 9786202524483
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The overall research work contains a number of procedural steps. Such as converting a black and white image to grayscale and various image processing steps, learning a pattern using Back-propagation Neural Network (BPN) and Bidirectional Associative Memory (BAM) recognize a existing or non-existing pattern from the learned pattern using BAM and BPN technique. All the steps of image processing and feature detection steps are performed and coded by the programming language Matlab provided by the Matwork Inc. Primary operation of Matlab is to acquire an image from the storage disk which is stored in a specific format and process the image. One of the most important factors of the research work is Feature Extraction which is implemented by Matlab. Then the processed pattern is stored in a file such that the file can be processed by another procedure. In pattern learning BPN and BAM is used. The parameters of the learning algorithm are varied and observed the nature of the system. From pattern learning, we get a weight set and correlation matrix which is used in recognition.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Seller Inventory # 9786202524483
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Comp. Study and Imp. of BAM and Multilayer Error BPN for Char Recogni. | Comparative Study and Implemen. of Bidirectional Asso. Memory and Multilayer Error Back-Propagation Net for Char Recogni
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Taschenbuch. Condition: Neu. Comp. Study and Imp. of BAM and Multilayer Error BPN for Char Recogni. | Comparative Study and Implemen. of Bidirectional Asso. Memory and Multilayer Error Back-Propagation Net for Char Recogni | Md. Mainur Rahman Tarafder | Taschenbuch | 84 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202524483 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 118373051
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Comp. Study and Imp. of BAM and Multilayer Error BPN for Char Recogni.: Comparative Study and Implemen. of Bidirectional Asso. Memory and Multilayer Error Back-Propagation Net for Char Recogni
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ISBN 13: 9786202524483
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