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(Ebook) intelligent engineering systems through artificial neural networks volume 19 1st Edition by Cihan H Dagli, H Dagli Cihan, K Mark Bryden, Steven M Corns, Mitsuo Gen, Kagan Tumer ISBN 9780791802953 0791802957

  • SKU: EBN-5393970
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Instant download (eBook) intelligent engineering systems through artificial neural networks volume 19: Computational Intelligence in Architecting Engineering Systems after payment.
Authors:Cihan H. Dagli, H. Dagli Cihan, K. Mark Bryden, Steven M. Corns, Mitsuo Gen, Kagan Tumer
Pages:619 pages.
Year:2009
Editon:1
Publisher:ASME Press, proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2009)
Language:english
File Size:28.02 MB
Format:pdf
ISBNS:9780791802953, 0791802957
Categories: Ebooks

Product desciption

(Ebook) intelligent engineering systems through artificial neural networks volume 19 1st Edition by Cihan H Dagli, H Dagli Cihan, K Mark Bryden, Steven M Corns, Mitsuo Gen, Kagan Tumer ISBN 9780791802953 0791802957

(Ebook) intelligent engineering systems through artificial neural networks volume 19 1st Edition by Cihan H Dagli, H Dagli Cihan, K Mark Bryden, Steven M Corns, Mitsuo Gen, Kagan Tumer - Ebook PDF Instant Download/Delivery: 9780791802953 ,0791802957
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Product details:

ISBN 10: 0791802957
ISBN 13: 9780791802953
Author: Cihan H Dagli, H Dagli Cihan, K Mark Bryden, Steven M Corns, Mitsuo Gen, Kagan Tumer

"The papers compiled in this book focus on use of computational intelligence techniques in architecting engineering systems. As the world is moving towards a networked society, business and government applications require integrated systems that exhibit intelligent behavior. The dynamically changing environmental and operational conditions necessitate a need for system architectures that will be effective for the duration of the mission but evolve to new system architectures as the mission changes. These systems necessitate the use of computational intelligence in their design to meet the consumer needs of adapting and responding to changing conditions. In 2009, the Missouri University of Science and Technology, in cooperation with the System Engineering Graduate Program within the Engineering Management and Systems Engineering Department organized the ANNIE 2009 Conference to advance the techniques of Computational Intelligence in the area of architecting engineering systems, This was the nineteenth meeting since the founding of the ANNIE conferences in 1991. The conference was held in St. Louis, Missouri, USA, and attracted 120 papers internationally, Each paper was peer reviewed and revised by the authors before being included in the book."--Jacket

(Ebook) intelligent engineering systems through artificial neural networks volume 19 1st Edition Table of contents:

Part I: Neural Network Architectures & Algorithms

  • Wavelet Packet Parallel Consensual Neural Networks

  • The Capacity of Matcher Neural Networks

  • Consequences of Limitation on Weights in Feedforward Multilayer Neural Networks
    (...plus additional papers on architectures and learning)

Part II: Fuzzy-Neural and Hybrid Systems

  • Selected papers integrating fuzzy logic with neural networks for enhanced decision-making
    (Exact titles unavailable)

Part III: Evolutionary & Adaptive Computation

  • Evolutionary programming approaches for optimization
    (Exact titles unavailable)

Part IV: Pattern Recognition & Signal Processing

  • Selected works on feature classification, fault detection, and intelligent signal processing
    (Exact titles unavailable)

Part V: Adaptive Control Systems

  • Research contributions on neural-based adaptive controls in robotics and UAVs
    (Exact titles unavailable)

Part VI: Smart Engineering System Design

  • Biomedical engineering systems

  • Signal processing applications

  • Forecasting models

  • Environmental monitoring and wastewater treatment

  • Machining and robotics automation

  • Process control and automated inspection

  • General engineering system design

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Tags: Cihan H Dagli, H Dagli Cihan, K Mark Bryden, Steven M Corns, Mitsuo Gen, Kagan Tumer, intelligent engineering systems

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