Fuzzy and neural approaches in engineering, matlab supplement [electronic resource] / Lefteri H. Tsoukalas, Robert E. Uhrig, Lotfi A. Zadeh.

By: Contributor(s): Material type: Computer fileSeries: Adaptive and learning systems for signal processing, communications and control seriesPublication details: [S.l.] : Wiley-Interscience, 1997.Edition: Pap/Dskt edDescription: 1 online resource (224 p.)Online resources: Summary: Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Status Barcode
Book Department of Mechanical and Aerospace Engineering Library 621.382 HIN (Browse shelf(Opens below)) Available 000166

Kindle eBook.

Neural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. This definitive book presents the fundamentals of both technologies, and demonstrates how to combine the unique capabilities of these two technologies for the greatest advantage. Steering clear of unnecessary mathematics, the book highlights a wide range of dynamic possibilities and offers numerous examples to illuminate key concepts. It also explores the value of relating genetic algorithms and expert systems to fuzzy and neural technologies.

There are no comments on this title.

to post a comment.
Air University Sector E-9, Islamabad Pakistan
Email: librarian@au.edu.pk  Tel : +0092 51 9262612 Ext: 631