Nowadays neural networks is playing a vital role in various fields and emerge as a important tool in predictions and classification.The book contains introductory neural network technique for recognition of handwritten characters. Handwritten character recognition is one of the most active areas of research. Developing a handwritten Devnagri character recognition system is a big challenge due to high variability of writing styles. This book is a novel approach in recognition of handwritten Devnagri characters and analysis of various suitable performance measures. The character recognition and performance measures analysis is done by using neural network tool box in MATLAB. It will be helpful to researchers working in this area to develop appropriate methodology. The book also throws light on performance evaluation of the existing algorithms on pattern recognition.The contents of the book include 1.Neural Networks in Pattern Recognition 2.Handwritten Character Recognition 3.Segmentation 4.Feature Extraction 5.Classification 6.Back Propagation Network 7.Scaled Conjugate Gradient Algorithm 8.Levenberg-Marquardt Algorith
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Nowadays neural networks is playing a vital role in various fields and emerge as a important tool in predictions and classification.The book contains introductory neural network technique for recognition of handwritten characters. Handwritten character recognition is one of the most active areas of research. Developing a handwritten Devnagri character recognition system is a big challenge due to high variability of writing styles. This book is a novel approach in recognition of handwritten Devnagri characters and analysis of various suitable performance measures. The character recognition and performance measures analysis is done by using neural network tool box in MATLAB. It will be helpful to researchers working in this area to develop appropriate methodology. The book also throws light on performance evaluation of the existing algorithms on pattern recognition.The contents of the book include 1.Neural Networks in Pattern Recognition 2.Handwritten Character Recognition 3.Segmentation 4.Feature Extraction 5.Classification 6.Back Propagation Network 7.Scaled Conjugate Gradient Algorithm 8.Levenberg-Marquardt Algorith
Prashant M Kakde,B.E(Instrumentation),M.E(Digital Electronics)Presently he is working as Asstt.Prof.in Department of Electronics and Telecommunication Engg,at H.V.P.M's college of Engg.& Tech.Amravati(India).He has a teaching experience of 12 years his areas of interest are neural networks,digital image processing etc.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nowadays neural networks is playing a vital role in various fields and emerge as a important tool in predictions and classification.The book contains introductory neural network technique for recognition of handwritten characters. Handwritten character recognition is one of the most active areas of research. Developing a handwritten Devnagri character recognition system is a big challenge due to high variability of writing styles. This book is a novel approach in recognition of handwritten Devnagri characters and analysis of various suitable performance measures. The character recognition and performance measures analysis is done by using neural network tool box in MATLAB. It will be helpful to researchers working in this area to develop appropriate methodology. The book also throws light on performance evaluation of the existing algorithms on pattern recognition.The contents of the book include 1.Neural Networks in Pattern Recognition 2.Handwritten Character Recognition 3.Segmentation 4.Feature Extraction 5.Classification 6.Back Propagation Network 7.Scaled Conjugate Gradient Algorithm 8.Levenberg-Marquardt Algorith 100 pp. Englisch. N° de réf. du vendeur 9783659358104
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kakde Prashant ManoharPrashant M Kakde,B.E(Instrumentation),M.E(Digital Electronics)Presently he is working as Asstt.Prof.in Department of Electronics and Telecommunication Engg,at H.V.P.M s college of Engg.& Tech.Amravati(India).He . N° de réf. du vendeur 5150867
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Taschenbuch. Etat : Neu. Neuware -Nowadays neural networks is playing a vital role in various fields and emerge as a important tool in predictions and classification.The book contains introductory neural network technique for recognition of handwritten characters. Handwritten character recognition is one of the most active areas of research. Developing a handwritten Devnagri character recognition system is a big challenge due to high variability of writing styles. This book is a novel approach in recognition of handwritten Devnagri characters and analysis of various suitable performance measures. The character recognition and performance measures analysis is done by using neural network tool box in MATLAB. It will be helpful to researchers working in this area to develop appropriate methodology. The book also throws light on performance evaluation of the existing algorithms on pattern recognition.The contents of the book include 1.Neural Networks in Pattern Recognition 2.Handwritten Character Recognition 3.Segmentation 4.Feature Extraction 5.Classification 6.Back Propagation Network 7.Scaled Conjugate Gradient Algorithm 8.Levenberg-Marquardt AlgorithBooks on Demand GmbH, Überseering 33, 22297 Hamburg 100 pp. Englisch. N° de réf. du vendeur 9783659358104
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays neural networks is playing a vital role in various fields and emerge as a important tool in predictions and classification.The book contains introductory neural network technique for recognition of handwritten characters. Handwritten character recognition is one of the most active areas of research. Developing a handwritten Devnagri character recognition system is a big challenge due to high variability of writing styles. This book is a novel approach in recognition of handwritten Devnagri characters and analysis of various suitable performance measures. The character recognition and performance measures analysis is done by using neural network tool box in MATLAB. It will be helpful to researchers working in this area to develop appropriate methodology. The book also throws light on performance evaluation of the existing algorithms on pattern recognition.The contents of the book include 1.Neural Networks in Pattern Recognition 2.Handwritten Character Recognition 3.Segmentation 4.Feature Extraction 5.Classification 6.Back Propagation Network 7.Scaled Conjugate Gradient Algorithm 8.Levenberg-Marquardt Algorith. N° de réf. du vendeur 9783659358104
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Taschenbuch. Etat : Neu. Character Recognition : A Machine Intelligence Approach | Prashant Manohar Kakde (u. a.) | Taschenbuch | 100 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659358104 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106016033
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