Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm (Record no. 79300)
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000 -LEADER | |
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fixed length control field | 03374nam a22006255i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-54295-9 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801221115.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 170429s2017 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319542959 |
-- | 978-3-319-54295-9 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
100 1# - AUTHOR NAME | |
Author | Amador, Leticia. |
245 10 - TITLE STATEMENT | |
Title | Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2017. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | VIII, 71 p. 40 illus., 31 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | SpringerBriefs in Computational Intelligence, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Theory and Background -- Problems Statement -- Bee Colony Optimization Algorithm.-Simulation results for the Proposed Methods -- Statistical Analysis and Comparison of Results -- Conclusions. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering the fuzzy control area. The main idea is that this areas together can to solve various control problems and to find better results. In this book we test the proposed method using two benchmark problems; the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a better stabilization, because the analysis of uncertainty is better. For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems. |
700 1# - AUTHOR 2 | |
Author 2 | Castillo, Oscar. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-54295-9 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2017. |
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-- | text |
-- | txt |
-- | rdacontent |
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-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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-- | rdacarrier |
347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Mathematical optimization. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Calculus of variations. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Control engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Robotics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Automation. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Algorithms. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Calculus of Variations and Optimization. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Control, Robotics, Automation. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Algorithms. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2625-3712 |
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-- | ZDB-2-ENG |
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-- | ZDB-2-SXE |
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