國立虎尾科技大學 |

Complex System Modelling and Control Through Intelligent Soft Computations

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Complex System Modelling and Control Through Intelligent Soft Computations/ edited by Quanmin Zhu, Ahmad Taher Azar.
其他作者:	Zhu, Quanmin.
面頁冊數:	IX, 863 p. 383 illus., 93 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-12883-2
ISBN:	9783319128832

Complex System Modelling and Control Through Intelligent Soft Computations
Complex System Modelling and Control Through Intelligent Soft Computations[electronic resource] /edited by Quanmin Zhu, Ahmad Taher Azar. - 1st ed. 2015. - IX, 863 p. 383 illus., 93 illus. in color.online resource. - Studies in Fuzziness and Soft Computing,3191434-9922 ;. - Studies in Fuzziness and Soft Computing,319.

Design and Modeling of Anti Wind Up PID Controllers -- A Hybrid Global Optimization Algorithm: Particle Swarm Optimization in Association with a Genetic Algorithm -- Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data -- Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map -- Leukocyte Detection through an Evolutionary Method -- PWARX model identification based on clustering approach -- Supplier quality evaluation using a fuzzy multi criteria decision making approach -- Concept Trees: Building Dynamic Concepts from Semi-Structured Data using Nature-Inspired Methods -- Swarm Intelligence Techniques and Their Adaptive Nature with Applications -- Signal Based Fault Detection and Diagnosis for rotating electrical machines: Issues and Solutions -- Modelling Of Intrusion Detection System Using Artificial Intelligence -Evaluation Of Performance Measures -- Enhanced Power System Security Assessment through Intelligent Decision Trees -- Classification of Normal and Epileptic Seizure EEG Signals based on Empirical Mode Decomposition -- A Rough Set Based Total Quality Management Approach in Higher Education -- Iterative Dual Rational Krylov and Iterative SVD-Dual Rational Krylov Model Reduction for Switched Linear Systems -- Household Electrical Consumption Modeling through Fuzzy Logic Approach -- Modeling,Identification and Control of irrigation station with sprinkling: Takagi- Sugeno approach -- Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches -- Secondary and Tertiary Structure Prediction of Proteins: A Bioinformatic Approach -- Approximation of Optimized Fuzzy Logic Controller for Shunt Active Power Filter.-Soft Computing Techniques For Optimal Capacitor Placement -- Advanced Metaheuristics-based Approach for Fuzzy Control Systems Tuning -- Robust Estimation Design for Unknown Inputs Fuzzy Bilinear Models: Application to Faults Diagnosis -- Unit Commitment Optimization Using Gradient-Genetic algorithm and Fuzzy logic approaches -- Impact of Hardware/Software Partitioning and MicroBlaze FPGA Configurations on the Embedded Systems Performances -- A Neural Approach to Cursive Handwritten Character Recognition using Features Extracted from Binarization Technique -- System Identification Technique and Neural Networks for Material Lifetime Assessment Application -- Measuring Software Reliability: A Trend using Machine Learning Techniques -- Hybrid Metaheuristic Approach for Scheduling of Aperiodic OS Tasks.

The book offers a snapshot of the theories and applications of soft computing in the area of complex systems modeling and control. It presents the most important findings discussed during the 5th International Conference on Modelling, Identification and Control, held in Cairo, from August 31-September 2, 2013. The book consists of twenty-nine selected contributions, which have been thoroughly reviewed and extended before their inclusion in the volume. The different chapters, written by active researchers in the field, report on both current theories and important applications of soft-computing. Besides providing the readers with soft-computing fundamentals, and soft-computing based inductive methodologies/algorithms, the book also discusses key industrial soft-computing applications, as well as multidisciplinary solutions developed for a variety of purposes, like windup control, waste management, security issues, biomedical applications and many others. It is a perfect reference guide for graduate students, researchers and practitioners in the area of soft computing, systems modeling and control.

ISBN: 9783319128832

Standard No.: 10.1007/978-3-319-12883-2doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Complex System Modelling and Control Through Intelligent Soft Computations
LDR:05149nam a22004095i 4500 001 960114
003 DE-He213
005 20200630232756.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319128832 $9 978-3-319-12883-2
024 7 $a 10.1007/978-3-319-12883-2 $2 doi
035 $a 978-3-319-12883-2
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Complex System Modelling and Control Through Intelligent Soft Computations $h [electronic resource] / $c edited by Quanmin Zhu, Ahmad Taher Azar.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a IX, 863 p. 383 illus., 93 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Fuzziness and Soft Computing, $x 1434-9922 ; $v 319
505 0 $a Design and Modeling of Anti Wind Up PID Controllers -- A Hybrid Global Optimization Algorithm: Particle Swarm Optimization in Association with a Genetic Algorithm -- Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data -- Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map -- Leukocyte Detection through an Evolutionary Method -- PWARX model identification based on clustering approach -- Supplier quality evaluation using a fuzzy multi criteria decision making approach -- Concept Trees: Building Dynamic Concepts from Semi-Structured Data using Nature-Inspired Methods -- Swarm Intelligence Techniques and Their Adaptive Nature with Applications -- Signal Based Fault Detection and Diagnosis for rotating electrical machines: Issues and Solutions -- Modelling Of Intrusion Detection System Using Artificial Intelligence -Evaluation Of Performance Measures -- Enhanced Power System Security Assessment through Intelligent Decision Trees -- Classification of Normal and Epileptic Seizure EEG Signals based on Empirical Mode Decomposition -- A Rough Set Based Total Quality Management Approach in Higher Education -- Iterative Dual Rational Krylov and Iterative SVD-Dual Rational Krylov Model Reduction for Switched Linear Systems -- Household Electrical Consumption Modeling through Fuzzy Logic Approach -- Modeling,Identification and Control of irrigation station with sprinkling: Takagi- Sugeno approach -- Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches -- Secondary and Tertiary Structure Prediction of Proteins: A Bioinformatic Approach -- Approximation of Optimized Fuzzy Logic Controller for Shunt Active Power Filter.-Soft Computing Techniques For Optimal Capacitor Placement -- Advanced Metaheuristics-based Approach for Fuzzy Control Systems Tuning -- Robust Estimation Design for Unknown Inputs Fuzzy Bilinear Models: Application to Faults Diagnosis -- Unit Commitment Optimization Using Gradient-Genetic algorithm and Fuzzy logic approaches -- Impact of Hardware/Software Partitioning and MicroBlaze FPGA Configurations on the Embedded Systems Performances -- A Neural Approach to Cursive Handwritten Character Recognition using Features Extracted from Binarization Technique -- System Identification Technique and Neural Networks for Material Lifetime Assessment Application -- Measuring Software Reliability: A Trend using Machine Learning Techniques -- Hybrid Metaheuristic Approach for Scheduling of Aperiodic OS Tasks.
520 $a The book offers a snapshot of the theories and applications of soft computing in the area of complex systems modeling and control. It presents the most important findings discussed during the 5th International Conference on Modelling, Identification and Control, held in Cairo, from August 31-September 2, 2013. The book consists of twenty-nine selected contributions, which have been thoroughly reviewed and extended before their inclusion in the volume. The different chapters, written by active researchers in the field, report on both current theories and important applications of soft-computing. Besides providing the readers with soft-computing fundamentals, and soft-computing based inductive methodologies/algorithms, the book also discusses key industrial soft-computing applications, as well as multidisciplinary solutions developed for a variety of purposes, like windup control, waste management, security issues, biomedical applications and many others. It is a perfect reference guide for graduate students, researchers and practitioners in the area of soft computing, systems modeling and control.
650 0 $a Computational intelligence. $3 568984
650 0 $a Control engineering. $3 1249728
650 0 $a Industrial engineering. $3 679492
650 0 $a Production engineering. $3 566269
650 0 $a Statistical physics. $3 528048
650 0 $a Dynamical systems. $3 1249739
650 0 $a Computational complexity. $3 527777
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Control and Systems Theory. $3 1211358
650 2 4 $a Industrial and Production Engineering. $3 593943
650 2 4 $a Complex Systems. $3 888664
650 2 4 $a Complexity. $3 669595
650 2 4 $a Statistical Physics and Dynamical Systems. $3 1114011
700 1 $a Zhu, Quanmin. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1064155
700 1 $a Azar, Ahmad Taher. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1064152
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319128849
776 0 8 $i Printed edition: $z 9783319128825
776 0 8 $i Printed edition: $z 9783319382388
830 0 $a Studies in Fuzziness and Soft Computing, $x 1434-9922 ; $v 319 $3 1253810
856 4 0 $u https://doi.org/10.1007/978-3-319-12883-2
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)