Fuzzy Logic in Intelligent System Design, Patricia Melin; Oscar Castillo; Janusz Kacprzyk; M

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331936961X ISBN-13(EAN): 9783319369617
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Автор: Hua Harry Li; Madan M. Gupta
Название: Fuzzy Logic and Intelligent Systems
ISBN: 0792395751 ISBN-13(EAN): 9780792395751
Издательство: Springer
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Цена: 213360.00 T
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Описание: One of the attractions of fuzzy logic is its utility in solving many real engineering problems. Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems.

Автор: Oscar Castillo
Название: Type-2 Fuzzy Logic in Intelligent Control Applications
ISBN: 3642270158 ISBN-13(EAN): 9783642270154
Издательство: Springer
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Цена: 104480.00 T
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Описание: Hybrid intelligent systems combine intelligent computing paradigms including fuzzy logic and bio-inspired optimization algorithms to produce powerful automatic control systems. This volume explains several important control applications of Type-2 fuzzy logic.

Автор: Alireza Faed
Название: An Intelligent Customer Complaint Management System with Application to the Transport and Logistics Industry
ISBN: 3319033433 ISBN-13(EAN): 9783319033433
Издательство: Springer
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Цена: 130590.00 T
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Описание: This book describes an intelligent customer relationship management framework that not only categorizes and analyses customer complaints but also evaluates customer satisfaction thus helping convert dissatisfaction into future business development strategies.

Автор: Alireza Faed
Название: An Intelligent Customer Complaint Management System with Application to the Transport and Logistics Industry
ISBN: 3319003232 ISBN-13(EAN): 9783319003238
Издательство: Springer
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Цена: 148020.00 T
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Описание: This book describes an intelligent customer relationship management framework that not only categorizes and analyses customer complaints but also evaluates customer satisfaction thus helping convert dissatisfaction into future business development strategies.

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: 174150.00 T
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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.

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
ISBN: 331917746X ISBN-13(EAN): 9783319177465
Издательство: Springer
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Цена: 156720.00 T
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Описание: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems.

Автор: Trevor Martin; Anca L. Ralescu
Название: Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems
ISBN: 3540624740 ISBN-13(EAN): 9783540624745
Издательство: Springer
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Цена: 65210.00 T
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Описание: The 20 revised full conference papers included in this book are organized into sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments.

Автор: Ronald R. Yager; Lotfi A. Zadeh
Название: An Introduction to Fuzzy Logic Applications in Intelligent Systems
ISBN: 1461366194 ISBN-13(EAN): 9781461366195
Издательство: Springer
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Цена: 186330.00 T
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Описание: An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook.

Автор: Hua Harry Li; Madan M. Gupta
Название: Fuzzy Logic and Intelligent Systems
ISBN: 9401737738 ISBN-13(EAN): 9789401737739
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: One of the attractions of fuzzy logic is its utility in solving many real engineering problems. Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems.

Автор: Patricia Melin; Oscar Castillo; Janusz Kacprzyk
Название: Nature-Inspired Design of Hybrid Intelligent Systems
ISBN: 3319470531 ISBN-13(EAN): 9783319470535
Издательство: Springer
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Цена: 232910.00 T
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Описание: This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.

Автор: Ana Maria Madureira; Ajith Abraham; Dorabela Gambo
Название: Intelligent Systems Design and Applications
ISBN: 3319534793 ISBN-13(EAN): 9783319534794
Издательство: Springer
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Цена: 326090.00 T
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Описание: This book comprises selected papers from the 16th International Conference on Intelligent Systems Design and Applications (ISDA`16), which was held in Porto, Portugal from December 1 to16, 2016.