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Neural Networks and Genetic Algorithmas: Synthesis and Applications

By:

Rajasekaran S

Contributor(s):

Vijayalakshmi Pai GA

Material type: Text

Text

TextPublication details: 2007 PHI New DelhiDescription: xvi+438ISBN:

9788120321861

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Holdings ( 12 )

Holdings
Item type	Current library	Call number	Status	Barcode
BOOKS	NSS COLLEGE OF ENGINEERING GENERAL STACK AREA	006.32 RAJ/N (Browse shelf(Opens below))	Available	56169
BOOKS	NSS COLLEGE OF ENGINEERING GENERAL STACK AREA	006.32 RAJ/N (Browse shelf(Opens below))	Available	56170
BOOKS	NSS COLLEGE OF ENGINEERING GENERAL STACK AREA	006.32 RAJ/N (Browse shelf(Opens below))	Available	56171
BOOKS	NSS COLLEGE OF ENGINEERING GENERAL STACK AREA	006.32 RAJ/N (Browse shelf(Opens below))	Available	47438
BOOKS	NSS COLLEGE OF ENGINEERING GENERAL STACK AREA	006.32 RAJ/N (Browse shelf(Opens below))	Available	47439
BOOKS	NSS COLLEGE OF ENGINEERING GENERAL STACK AREA	006.32 RAJ/N (Browse shelf(Opens below))	Available	47734
BOOKS	NSS COLLEGE OF ENGINEERING GENERAL STACK AREA	006.32 RAJ/N (Browse shelf(Opens below))	Available	47736
BOOKS	NSS COLLEGE OF ENGINEERING GENERAL STACK AREA	006.32 RAJ/N (Browse shelf(Opens below))	Available	47738
BOOKS	NSS COLLEGE OF ENGINEERING GENERAL STACK AREA	006.32 RAJ/N (Browse shelf(Opens below))	Available	47739
BOOKS	NSS COLLEGE OF ENGINEERING GENERAL STACK AREA	006.32 RAJ/N (Browse shelf(Opens below))	Available	47740
BOOKS	NSS COLLEGE OF ENGINEERING GENERAL STACK AREA	006.32 RAJ/N (Browse shelf(Opens below))	Available	50817
BOOKS	NSS COLLEGE OF ENGINEERING BOOK BANK STACK AREA	006.32 RAJ/N (Browse shelf(Opens below))	Available	50818

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Previous	006.32 RAJ/N Neural Networks and Genetic Algorithmas: Synthesis and Applications	006.32 RAJ/N Neural Networks and Genetic Algorithmas: Synthesis and Applications	006.32 RAJ/N Neural Networks and Genetic Algorithmas: Synthesis and Applications	006.32 RAJ/N Neural Networks and Genetic Algorithmas: Synthesis and Applications	006.32 RAM/M Multidimensional Neural Networks	006.32 SAT/N Neural Networks: A Classroom Approach	006.32 SAT/N Neural Networks: A Classroom Approach	Next

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