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Soft Computing And Intelligent Systems Design : Theory, Tools And Applications
Publisher:
Pearson India
| Author:
Fakhreddine O. Karray | Clarence W. De Silva
| Language:
English
| Format:
Paperback
Publisher:
Pearson India
Author:
Fakhreddine O. Karray | Clarence W. De Silva
Language:
English
Format:
Paperback
₹1,265 ₹1,075
Save: 15%
In stock
Ships within:
3-5 Days
In stock
ISBN:
SKU
9788131723241
Category Computer Engineering/IT Engineering
Category: Computer Engineering/IT Engineering
Page Extent:
584
Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as “crisp” techniques by the soft computing community. The new wave of AI methods seeks inspiration from the world of biology and is being used to create numerous real-world intelligent systems with the aid of soft computing tools. These new methods are being increasingly taught at the upper end of the curriculum, sometimes as an adjunct to traditional AI courses and sometimes as a replacement for them. Where a more radical approach is taken and the course is being taught at an introductory level, we have recently published Negnevitsky’s book. Karray and Silva will be suitable for the majority of courses which will be found at an advanced level. Karray and de Silva cover the problem of control and intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications and the book contains numerous worked examples, problems and case studies. Covering the state-of-the-art in soft-computing techniques, the book gives the reader sufficient knowledge to tackle a wide range of complex systems for which traditional techniques are inadequate.
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Description
Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as “crisp” techniques by the soft computing community. The new wave of AI methods seeks inspiration from the world of biology and is being used to create numerous real-world intelligent systems with the aid of soft computing tools. These new methods are being increasingly taught at the upper end of the curriculum, sometimes as an adjunct to traditional AI courses and sometimes as a replacement for them. Where a more radical approach is taken and the course is being taught at an introductory level, we have recently published Negnevitsky’s book. Karray and Silva will be suitable for the majority of courses which will be found at an advanced level. Karray and de Silva cover the problem of control and intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications and the book contains numerous worked examples, problems and case studies. Covering the state-of-the-art in soft-computing techniques, the book gives the reader sufficient knowledge to tackle a wide range of complex systems for which traditional techniques are inadequate.
About Author
Dr. Clarence W. de Silva, P.E., Fellow ASME and Fellow IEEE, is a Professor of Mechanical Engineering at the University of British Columbia, Vancouver, Canada, and occupies the Tier 1 Canada Research Chair professorship in Mechatronics and Industrial Automation. Prior to that, he has occupied the NSERC-BC Packers Research Chair in Industrial Automation since 1988. He has served as a faculty member at Carnegie Mellon University (1978-87) and as a Fulbright Visiting Professor at the University of Cambridge (1987/88).
He has earned Ph.D. degrees from Massachusetts Institute of Technology (1978) and the University of Cambridge, England (1998), and an honorary D.Eng. degree from University of Waterloo (2008). De Silva has also occupied the Mobil Endowed Chair Professorship in the Department of Electrical and Computer Engineering at the National University of Singapore and Honorary Chair Professorship of National Taiwan University of Science and Technology.
He has earned Ph.D. degrees from Massachusetts Institute of Technology (1978) and the University of Cambridge, England (1998), and an honorary D.Eng. degree from University of Waterloo (2008). De Silva has also occupied the Mobil Endowed Chair Professorship in the Department of Electrical and Computer Engineering at the National University of Singapore and Honorary Chair Professorship of National Taiwan University of Science and Technology.
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