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Synopsis
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. The recognition part, the results from learning algorithm are used to math the unknown input.
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About the Author
Md. Mainur Rahman Tarafder, MIEB, FBCS, MIEOM; S.S.C 1st class with star marks(82.1%); H.S.C 1st class with star marks(77.7%); B. Sc. Engineering in Computer Science & Engineering (RUET); Master of Engineering in Information and Communication Technology (IICT, BUET); Assistant Manager(Software (SCMS)), IT, IPI.
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Performance Analysis of BAM and BPN for Character Recognition
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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. The recognition part, the results from learning algorithm are used to math the unknown input. 84 pp. Englisch. Seller Inventory # 9783659623301
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Performance Analysis of BAM and BPN for Character Recognition
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Performance Analysis of BAM and BPN for Character Recognition
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Performance Analysis of BAM and BPN for Character Recognition
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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. The recognition part, the results from learning algorithm are used to math the unknown input. Seller Inventory # 9783659623301
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Performance Analysis of BAM and BPN for Character Recognition
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Performance Analysis of BAM and BPN for Character Recognition
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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 RahmanMd. Mainur Rahman Tarafder, MIEB, FBCS, MIEOM S.S.C 1st class with star marks(82.1%) H.S.C 1st class with star marks(77.7%) B. Sc. Engineering in Computer Science & Engineering (RUET) Master of Engineer. Seller Inventory # 176459490
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Performance Analysis of BAM and BPN for Character Recognition
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Performance Analysis of BAM and BPN for Character Recognition
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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. The recognition part, the results from learning algorithm are used to math the unknown input.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Seller Inventory # 9783659623301
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Performance Analysis of BAM and BPN for Character Recognition
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Taschenbuch. Condition: Neu. Performance Analysis of BAM and BPN for Character Recognition | Md. Mainur Rahman Tarafder | Taschenbuch | 84 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783659623301 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 110094239
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