Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications by Ed

Description: Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications by Edwin Lughofer This book presents several evolving fuzzy systems approaches using real-world application scenarios to underline the usefulness and necessity of evolving fuzzy systems. The text also outlines potential new applications and raises open problems and new challenges. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description In todays real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences.Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems. Back Cover In todays real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems , including human-inspired evolving machines . The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems. Table of Contents I. Introduction.- Part I - Basic Methodologies.- II. Basic Algorithms for EFS.- III. EFS Approaches for Regression and Classification.- Part II - Advanced Concepts.- IV. Towards Robust and Process-Save EFS.- V. On Improving Performance and Increasing Useability of EFS.- VI. Interpretability Issues in EFS.- Part III – Applications.- VII. Online System Identification and Prediction.- VIII. On-Line Fault and Anomaly Detection.- IX. Visual Inspection Systems.- X. Further (Potential) Application Fields.- Epilog - Achievements, Open Problems and New Challenges in EFS. Feature Complete overview about the Methodologies and Applications of Evolving Fuzzy Systems Written by an leading expert in this field State-of-the-Art book Details ISBN3642266924 Author Edwin Lughofer Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Series Studies in Fuzziness and Soft Computing Year 2013 ISBN-10 3642266924 ISBN-13 9783642266928 Format Paperback Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Place of Publication Berlin Country of Publication Germany Short Title EVOLVING FUZZY SYSTEMS - METHO Language English Media Book Series Number 266 DEWEY 006.3 Pages 456 Edition 2011th Illustrations XXIV, 456 p. Publication Date 2013-02-25 Edition Description 2011 ed. Alternative 9783642180866 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96372534;

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