Applied Neural Networks and Soft Computing (Hardcover)

Ivan Stanimirovic

ISBN 10: 1773613863 / ISBN 13: 9781773613864

Published by Arcler Education Inc, 2018

About this Item

Hardcover. Applied Neural Networks and Soft Computing examines the relation between neural networks and soft computing. Neural network is a system of hardware and software designed after the operations of neurons. Applied neural networks has a plethora of applications and the text tries to touch every aspect to give readers a wider perspective. Further, artificial neural networks (vaguely inspired by biological neural network) are also discussed to keep readers up to date regarding the latest innovations taking place. Examines the relation between neural networks and soft computing. A neural network is a system of hardware and software designed after the operations of neurons. Applied neural networks have a plethora of applications and the text tries to touch every aspect to give readers a wider perspective. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781773613864

Bibliographic Details

• Title: Applied Neural Networks and Soft Computing (Hardcover)
• Publisher: Arcler Education Inc
• Publication Date: 2018
• Language: English
• ISBN 10: 1773613863
• ISBN 13: 9781773613864
• Binding: Hardcover
• Condition: new

About this title

Synopsis

Applied Neural Networks and Soft Computing examines the relation between neural networks and soft computing. Neural network is a system of hardware and software designed after the operations of neurons. Applied neural networks has a plethora of applications and the text tries to touch every aspect to give readers a wider perspective. Further, artificial neural networks (vaguely inspired by biological neural network) are also discussed to keep readers up to date regarding the latest innovations taking place.

About the Author

Ivan Stanimirovic gained his PhD from University of Niš, Serbia in 2013.His work spans from multi-objective optimization methods to applications of generalized matrix inverses in areas such as image processing and computer graphics and visualisations. He is currently working as an Assistantprofessor at Faculty of Sciences and Mathematics at University of Niš on computing generalized matrix inverses and its applications.