Character recognition machine intelligence de kakde prashant (6 resultados)
- Tapa blanda
Librería: preigu, Osnabrück, Alemaniapreigu
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 44,05
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Taschenbuch. Condición: Neu. Character Recognition : A Machine Intelligence Approach | Prashant Manohar Kakde (u. a.) | Taschenbuch | 100 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659358104 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[d…ot]de | Anbieter: preigu.
- Tapa blanda
Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
Contactar con el vendedorVendedor de 4 estrellasCondición: Usado - Como Nuevo
EUR 123,01
Envío por EUR 29,27Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
- Tapa blanda
- Impresión bajo demanda
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 49,90
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: 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. H…andwritten 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.
- Tapa blanda
- Impresión bajo demanda
Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 41,71
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: 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 .
- Tapa blanda
- Impresión bajo demanda
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 49,90
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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. Handw…ritten 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 AlgorithVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.
- Tapa blanda
- Impresión bajo demanda
Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 49,90
Envío por EUR 60,84Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: 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. Handwr…itten 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.
