Pattern recognition

author = "K. Govinda Char and Walter Alden Tackett",

title = "Pattern recognition",

booktitle = "Handbook of Evolutionary Computation",

publisher = "Oxford University Press",

publisher_2 = "Institute of Physics Publishing",

year = "1997",

editor = "Thomas Baeck and David B. Fogel and Zbigniew Michalewicz",

chapter = "section F1.6.2.5",

keywords = "genetic algorithms, genetic programming",

ISBN = "0-7503-0392-1",

URL = "

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.375.6494.pdf",

URL = "

http://www.crcnetbase.com/isbn/9780750308953",

size = "5 pages",

abstract = "Pattern recognition is one of the most important components of any intelligent system. The traditional methodologies in pattern recognition are inadequate to provide optimal solutions to a variety of pattern recognition and classification problems that are inherently complex. In recent years, evolutionary algorithms have been successfully applied to a wide range of diverse sets of problems in the field of pattern recognition. In a number of applications, evolutionary paradigms, in hybrid with the traditional techniques or in isolation, have outperformed traditional techniques. In this section we provide an overview of various pattern recognition techniques that are currently in use, the role of evolutionary computation in adaptive pattern recognition and the future trends.",

notes = "Nov 2015 Chapter not showing up at http://www.crcnetbase.com/isbn/9780750308953 whole of Part F missing",