Soft Computing and Applications - Rashid, Tarik
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This book explains the principles of different types of Neural Networks such as Feed Forward, Cascade Feed Forward and Radial Basis Function Neural Networks. It also describes Fuzzy Logic concepts and Membership Functions. It is needed to mention that Neuron-Fuzzy Inference systems are come from Fuzzy Logic and Neural Network concepts; these are adaptive techniques that are given in detail in this book. Support Vector Machines are presented here as well. Applications such as direct current motors, student administration system, and electrical faults are employed to implement the above soft computing techniques.…mehr

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Produktbeschreibung
This book explains the principles of different types of Neural Networks such as Feed Forward, Cascade Feed Forward and Radial Basis Function Neural Networks. It also describes Fuzzy Logic concepts and Membership Functions. It is needed to mention that Neuron-Fuzzy Inference systems are come from Fuzzy Logic and Neural Network concepts; these are adaptive techniques that are given in detail in this book. Support Vector Machines are presented here as well. Applications such as direct current motors, student administration system, and electrical faults are employed to implement the above soft computing techniques.
Autorenporträt
Tarik Rashid received the B.Sc. degree from Mosul University in 1990 and his Pg.D. degree from Griffith College Dublin(GCD), in 2001.He received his Ph.D. degree from University College Dublin (UCD) in 2006.He was a senior member of Parallel Computational Research Group (PRCG) at UCD in 2007.