M. Ławryńczuk "Computationally Efficient Model Predictive Control Algorithms"

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Nadrzędna kategoria: Polecane Książki

Author: Ławryńczuk, Maciej.

Publisher: Springer International Publishing

Publish date: 2014

Document type: book

ISBN: 9783319042299

Subtitle: A Neural Network Approach

Series: Studies in Systems, Decision and Control 3

English: This book thoroughly discusses computationally efficient

(suboptimal) Model Predictive Control (MPC) techniques based on

neural models. The subjects treated include:

Czytaj więcej: M. Ławryńczuk "Computationally Efficient Model Predictive Control Algorithms"

R. Scherer "Multiple Fuzzy Classification Systems"

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Nadrzędna kategoria: Polecane Książki

Wydawca: Springer

Seria wydawnicza: Studies in Fuzziness and Soft Computing

Język: Angielski

ISBN-13: 9783642306037

Rok wydania: 2012

Wydanie: 2012

Nr. serii: 000044347

Ilość stron: 136

Fuzzy classifiers are important tools in exploratory data analysis, which is a vital set of methods used in various engineering, scientific and business applications. Fuzzy classifiers use fuzzy rules and do not require assumptions common to statistical classification. Rough set theory is useful when data sets are incomplete. It defines a formal

Czytaj więcej: R. Scherer "Multiple Fuzzy Classification Systems"

J. Starczewski "Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty"

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Nadrzędna kategoria: Polecane Książki

Advanced Concepts in Fuzzy Logic and Systems with Membership UncertaintyAuthor: Janusz T. Starczewski

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Published: 27 August 2012

Format: Hardback

Pages: 320

Print ISBN: 978-3-642-29519-5

Online ISBN: 978-3-642-29520-1

English: This book generalizes fuzzy logic systems for different types of uncertainty, including - semantic ambiguity resulting from limited perception or lack of knowledge about exact membership functions

Czytaj więcej: J. Starczewski "Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty"

M. Mrugalski "Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis"

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Nadrzędna kategoria: Polecane Książki

Authors: Marcin Mrugalski

Wydawca: Springer-Verlag Gmbh

English:

• Devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes
• Details neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems
• Treats fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness
• The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field

Czytaj więcej: M. Mrugalski "Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis"