9783843391184 - fuzzy lattice neural model and fuzzy equivalance relation model: classification and clustering de duraisamy, kalamani (9 resultados)
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Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. pp. 132.
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Taschenbuch. Condición: Neu. Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model | Classification and Clustering | Kalamani Duraisamy | Taschenbuch | 132 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783843391184 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norder…stedt, info[at]bod[dot]de | Anbieter: preigu.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computer vision, unlike humans, still has not fully acquired the ability to categorise a person's age group from an image of the person's face. Successful gender and age classification could be used to boot the performance of face r…ecognition system. Fuzzy models have been used and analysed in this work to achieve the desired results. The concept of fuzzy lattice neural model is introduced and is applied to classify the age group of a person from the gray scale facial image. Next, the fuzzy equivalence relation model is constructed and is used to classify the age group of a person. Then, the fuzzy lattice neural model is applied to segment an aerial gray scale image. Finally, fuzzy lattice neural model is compared with other models like fuzzy equivalence relation model, Kohenen's clustering neural model that are used for classification. The hybridization of the technologies is demonstrated on architectures such as Neuro-fuzzy systems. This book should be of interest to researchers and technologists desirous of applying FLN technology to their respective fields of work. 132 pp. Englisch.
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: DURAISAMY KALAMANID.Kalamani is Associate Professor, Department of Mathematics at the Kongu Engineering College, Erode, Tamilnadu, India. She is a a gold medalist from Bharathiar University. She has ove…r 15 years of teaching exper.
Idioma: Inglés
Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Condición: New. Print on Demand pp. 132 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Idioma: Inglés
Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2011
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. 132.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Computer vision, unlike humans, still has not fully acquired the ability to categorise a person''s age group from an image of the person''s face. Successful gender and age classification could be used to boot the performance of face rec…ognition system. Fuzzy models have been used and analysed in this work to achieve the desired results. The concept of fuzzy lattice neural model is introduced and is applied to classify the age group of a person from the gray scale facial image. Next, the fuzzy equivalence relation model is constructed and is used to classify the age group of a person. Then, the fuzzy lattice neural model is applied to segment an aerial gray scale image. Finally, fuzzy lattice neural model is compared with other models like fuzzy equivalence relation model, Kohenen''s clustering neural model that are used for classification. The hybridization of the technologies is demonstrated on architectures such as Neuro-fuzzy systems. This book should be of interest to researchers and technologists desirous of applying FLN technology to their respective fields of work.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer vision, unlike humans, still has not fully acquired the ability to categorise a person's age group from an image of the person's face. Successful gender and age classification could be used to boot the performance of face recogn…ition system. Fuzzy models have been used and analysed in this work to achieve the desired results. The concept of fuzzy lattice neural model is introduced and is applied to classify the age group of a person from the gray scale facial image. Next, the fuzzy equivalence relation model is constructed and is used to classify the age group of a person. Then, the fuzzy lattice neural model is applied to segment an aerial gray scale image. Finally, fuzzy lattice neural model is compared with other models like fuzzy equivalence relation model, Kohenen's clustering neural model that are used for classification. The hybridization of the technologies is demonstrated on architectures such as Neuro-fuzzy systems. This book should be of interest to researchers and technologists desirous of applying FLN technology to their respective fields of work.
