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Soft Computing for Recognition based on Biometrics (Hardcover, Edition.)
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Soft Computing for Recognition based on Biometrics (Hardcover, Edition.)
Series: Studies in Computational Intelligence, 312
Expected to ship within 12 - 17 working days
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We describe in this book, bio-inspired models and applications of
hybrid intel- gent systems using soft computing techniques for
image analysis and pattern r- ognition based on biometrics and
other information sources. Soft Computing (SC) consists of several
intelligent computing paradigms, including fuzzy logic, neural
networks, and bio-inspired optimization algorithms, which can be
used to produce powerful hybrid intelligent systems. The book is
organized in five main parts, which contain a group of papers
around a similar subject. The first part consists of papers with
the main theme of classification methods and applications, which
are basically papers that propose new models for classification to
solve general pr- lems and applications. The second part contains
papers with the main theme of modular neural networks in pattern
recognition, which are basically papers using bio-inspired
techniques, like modular neural networks, for achieving pattern r-
ognition based on biometric measures. The third part contains
papers with the theme of bio-inspired optimization methods and
applications to diverse problems. The fourth part contains papers
that deal with general theory and algorithms of bio-inspired
methods, like neural networks and evolutionary algorithms. The
fifth part contains papers on computer vision applications of soft
computing methods. In the part of classification methods and
applications there are 5 papers that - scribe different
contributions on fuzzy logic and bio-inspired models with appli-
tion in classification for medical images and other data.
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