Genetic Folding Algorithm - Mezher, Mohammad A.
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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.…mehr

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Produktbeschreibung
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.
Autorenporträt
Dr Mohammad A. Mezher is a Ph.D. in computer science of Artificial Intelligence (AI), he is recently took up a position as Assistant professor at Fahad Bin Sultan University. In 2011, he founded genetic-folding.com to develop software and solutions based on the GF technique. He is recently working to develop the GF algorithm to be available online.