Основы информатики, общие работы

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Genetic Folding Algorithm

Автор: Mohammad A.Mezher
Год: 2012
Издание: LAP Lambert Academic Publishing
Страниц: 192
ISBN: 9783659209567
Machine Learning (ML), a field of artificial intelligence, is concerned with the design and development of new algorithms that allow computers to learn behaviors based on observed data. Genetic Folding as a novel algorithm inspired by RNA and DNA folding, GF algorithm thereby offering a simple and inexpensive way of studying problems without a need of implementing complexity models. “Genetic Folding: New Computational Intelligence Models” book is introduced with wide range of experiments the ability of GF as a new AI algorithm. In addition to GF algorithm, the book introduces a novel method named as Alignment Algorithm.
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