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Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model - Kalamani Duraisamy
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Kalamani Duraisamy:
Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model - neues Buch

ISBN: 9783843391184

ID: 173d09834fcd03f0c5e0a4f1eb614357

Classification and Clustering 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 recognition 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. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-8433-9118-4, LAP Lambert Academic Publishing

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Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model - Kalamani Duraisamy
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Kalamani Duraisamy:
Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model - neues Buch

ISBN: 9783843391184

ID: 712706138

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 recognition 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. Classification and Clustering Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing

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Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model - Kalamani Duraisamy
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Kalamani Duraisamy:
Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model - neues Buch

ISBN: 9783843391184

ID: 173d09834fcd03f0c5e0a4f1eb614357

Classification and Clustering 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 recognition 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. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-8433-9118-4, LAP Lambert Acad. Publ.

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Nr. 27657550 Versandkosten:Bücher und alle Bestellungen die ein Buch enthalten sind versandkostenfrei, sonstige Bestellungen innerhalb Deutschland EUR 3,-, ab EUR 20,- kostenlos, Bürobedarf EUR 4,50, kostenlos ab EUR 45,-, Sofort lieferbar, DE. (EUR 0.00)
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Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model - Kalamani Duraisamy
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Kalamani Duraisamy:
Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model - neues Buch

ISBN: 9783843391184

ID: 13eb5b2b6dfdb088a5ce41e1e002d69b

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 recognition 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. Buch / Broschur

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Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model - DURAISAMY, KALAMANI
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DURAISAMY, KALAMANI:
Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model - Taschenbuch

2011, ISBN: 3843391181

Gebundene Ausgabe, ID: 10279266

Classification and Clustering - Buch, gebundene Ausgabe, 132 S., Beilagen: Paperback, Erschienen: 2011 LAP Lambert Acad. Publ.

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Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model

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 recognition 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.

Detailangaben zum Buch - Fuzzy Lattice Neural Model and Fuzzy Equivalance Relation Model


EAN (ISBN-13): 9783843391184
ISBN (ISBN-10): 3843391181
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2011
Herausgeber: LAP Lambert Acad. Publ.

Buch in der Datenbank seit 15.03.2007 05:26:45
Buch zuletzt gefunden am 16.12.2017 18:13:25
ISBN/EAN: 9783843391184

ISBN - alternative Schreibweisen:
3-8433-9118-1, 978-3-8433-9118-4


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