• Produktbild: Soft Computing Approach to Pattern Classification and Object Recognition
  • Produktbild: Soft Computing Approach to Pattern Classification and Object Recognition
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Soft Computing Approach to Pattern Classification and Object Recognition A Unified Concept

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

06.10.2012

Abbildungen

XII, 176 p.

Verlag

Springer Us

Seitenzahl

176

Maße (L/B/H)

24,1/16/1,4 cm

Gewicht

453 g

Sprache

Englisch

ISBN

978-1-4614-5347-5

Beschreibung

Rezension

From the reviews:

“This book addresses the use of soft computing techniques for pattern recognition problems, starting with an interesting overview of how the conventional approach to pattern recognition differs from the soft computing approach. … The book achieves a well-balanced treatment of theory, mathematics, and applications. Each chapter has a good number of references, and … each includes interesting experimental results. … this book would be useful for research scholars and scientists working in the field of pattern recognition.” (S. Ramakrishnan, Computing Reviews, March, 2013)

“The book presents the research work of the author regarding soft computing methods, such as fuzzy relational calculus, genetic algorithms and neural networks, for the tasks of pattern classification and occluded object recognition. … The entire methodology is thoroughly tested on real-world applications and addresses researchers in pattern classification and computer vision.” (Catalin Stoean, Zentralblatt MATH, Vol. 1260, 2013)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

06.10.2012

Abbildungen

XII, 176 p.

Verlag

Springer Us

Seitenzahl

176

Maße (L/B/H)

24,1/16/1,4 cm

Gewicht

453 g

Sprache

Englisch

ISBN

978-1-4614-5347-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Soft Computing Approach to Pattern Classification and Object Recognition
  • Produktbild: Soft Computing Approach to Pattern Classification and Object Recognition

  • Soft Computing Approach to Pattern Classification and Object Recognition.- Pattern Classification Based on Conventional Interpretation of MFI.- Pattern Classification Based on New Interpretation of MFI.- Pattern Classification Based on New Interpretation of MFI and Floating Point Genetic Algorithm.- Neuro-Genetic Approach To Pattern Classification Based on the New Interpretation of MFI.- Knowledge-Based Occluded Object Recognition Based on New Interpretation of MFI and Floating Point Genetic Algorithm.- Neuro-fuzzy Approach to Occluded Object Recognition Based on the New Interpretation of MFI.