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Neural Network Engineering in Dynamic Control Systems (Paperback, Softcover reprint of the original 1st ed. 1995)
Loot Price: R1,469
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Neural Network Engineering in Dynamic Control Systems (Paperback, Softcover reprint of the original 1st ed. 1995)
Series: Advances in Industrial Control
Expected to ship within 10 - 15 working days
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The series Advances in Industrial Control aims to report and
encourage technology transfer in control engineering. The rapid
development of control technology impacts all areas of the control
discipline. New theory, new controllers, actuators, sensors, new
industrial processes, computer methods, new applications, new
philosophies, .... , new challenges. Much of this development work
resides in industrial reports, feasibility study papers and the
reports of advanced collaborative projects. The series offers an
opportunity for researchers to present an extended exposition of
such new work in all aspects of industrial control for wider and
rapid dissemination. Within the control community there has been
much discussion of and interest in the new Emerging Technologies
and Methods. Neural networks along with Fuzzy Logic and Expert
Systems is an emerging methodology which has the potential to
contribute to the development of intelligent control technologies.
This volume of some thirteen chapters edited by Kenneth Hunt,
George Irwin and Kevin Warwick makes a useful contribution to the
literature of neural network methods and applications. The chapters
are arranged systematically progressing from theoretical
foundations, through the training aspects of neural nets and
concluding with four chapters of applications. The applications
include problems as diverse as oven tempera ture control, and
energy/load forecasting routines. We hope this interesting but
balanced mix of material appeals to a wide range of readers from
the theoretician to the industrial applications engineer.
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