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Fundamentals of Computational Intelligence

Neural Networks, Fuzzy Systems, and Evolutionary Computation

par James M. Keller, Derong Liu, David B. Fogel ...

Collections series IEEE Press Series on Computational Intelligence
Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one anotherThis book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real ... En savoir plus

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Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one anotherThis book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real
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Pattern Recognition

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This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods ... En savoir plus

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MATLAB for Neuroscientists

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Statistical Analysis Techniques in Particle Physics

Fits, Density Estimation and Supervised Learning

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Kernel Methods and Machine Learning

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Computational Intelligence

Memory and the Computational Brain

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An Introduction to Machine Learning

Neural Networks and Statistical Learning

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