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Methodology of Complex Activity: Foundations of Understanding and Modelling, Belov Mikhail V., Novikov Dmitry a.


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Автор: Belov Mikhail V., Novikov Dmitry a.
Название:  Methodology of Complex Activity: Foundations of Understanding and Modelling
ISBN: 9783030486099
Издательство: Springer
Классификация:

ISBN-10: 3030486095
Обложка/Формат: Hardcover
Страницы: 223
Вес: 0.51 кг.
Дата издания: 01.07.2020
Серия: Studies in systems, decision and control
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 9 illustrations, color; 61 illustrations, black and white; xiv, 223 p. 70 illus., 9 illus. in color.
Размер: 23.39 x 15.60 x 1.42 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Foundations of understanding and modelling
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book develops and describes a general methodology that can be applied to any complex human activity (activity with a non-trivial, multi-level internal structure). The structural components of complex activities are considered, and their logical, cause-and-effect, and process structures are functionally described.


Complex System Modelling and Control Through Intelligent Soft Computations

Автор: Quanmin Zhu; Ahmad Taher Azar
Название: Complex System Modelling and Control Through Intelligent Soft Computations
ISBN: 3319128825 ISBN-13(EAN): 9783319128825
Издательство: Springer
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Цена: 26122.00 р.
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Описание: 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.

Complex System Modelling and Control Through Intelligent Soft Computations

Автор: Quanmin Zhu; Ahmad Taher Azar
Название: Complex System Modelling and Control Through Intelligent Soft Computations
ISBN: 3319382381 ISBN-13(EAN): 9783319382388
Издательство: Springer
Рейтинг:
Цена: 22201.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.


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