Soft Computing with NeuroFuzzy systems
- Length: 312 pages
- Edition: 1
- Language: English
- Publisher: Arcler Press
- Publication Date: 2020-11-01
- ISBN-10: 1774077795
- ISBN-13: 9781774077795
- Sales Rank: #0 (See Top 100 Books)
This book covers different topics from soft computing and neuro-fuzzy systems, including intelligent neuro-fuzzy models, adaptive neuro-fuzzy systems, neuro-fuzzy inference systems, and neuro-fuzzy control. Section 1 focuses on intelligent neuro-fuzzy models, describing fuzzy-neuro model for intelligent credit risk management; method to improve airborne pollution forecasting by using ant colony optimization; TSK-type recurrent neuro-fuzzy systems for fault prognosis; and neuro-fuzzy model for QoS based selection of web service. Section 2 focuses on adaptive neuro-fuzzy systems, describing adaptive neuro-fuzzy logic system for heavy metal sorption in aquatic environments; automatic heart disease diagnosis system based on artificial neural network (ANN); reliability estimation of services oriented systems using adaptive neuro fuzzy inference system; and prediction of soil fractions (sand, silt and clay) in surface layer based on natural radionuclides concentration. Section 3 focuses on neuro-fuzzy inference systems, describing adaptive neuro-fuzzy inference system for prediction of effective thermal conductivity of polymer-matrix composites; application of adaptive neuro-fuzzy inference system in supply chain management evaluation; application of the adaptive neuro-fuzzy inference system for optimal design of reinforced concrete beams; comparison between neural network and adaptive neuro-fuzzy inference system for forecasting chaotic traffic volumes; and development of an alternative method for the sovereign credit rating system based on adaptive neuro-fuzzy inference system. Section 4 focuses on neuro-fuzzy control, describing implementation of adaptive neuro fuzzy inference system in speed control of induction motor drives; neuro-fuzzy based interline power flow controller for real time power flow control in multiline power system; controlling speed of dc motor with fuzzy controller in comparison with ANFIS controller; a neuro-fuzzy controller for collaborative applications in robotics using LabVIEW; and adaptive fuzzy sliding mode control scheme for robotic systems.
Cover Copyright DECLARATION ABOUT THE EDITOR TABLE OF CONTENTS List of Contributors List of Abbreviations Preface Section 1 Intelligent Neuro-fuzzy Methods Chapter 1 Fuzzy-Neuro Model for Intelligent Credit Risk Management Abstract Introduction The Fuzzy Logic And Neural Networks Algorithms Hybrid Fuzzy Logic-Neural Network (HFNN) Model For Intelligent Credit Risk Management Experiment Results Discussion And Analysis Of Results Conclusions And Recommendations References Chapter 2 Method to Improve Airborne Pollution Forecasting by Using Ant Colony Optimization and Neuro-Fuzzy Algorithms Abstract Introduction Methodology Results And Discussion Conclusions Acknowledgements References Chapter 3 A TSK-Type Recurrent Neuro-Fuzzy Systems for Fault Prognosis Abstract Introduction Temporal Neuro-Fuzzy Systems Prognostics Process Experimental Results Conclusion References Chapter 4 A Neuro-Fuzzy Model for QoS Based Selection of Web Service Abstract Introduction Qos Properties Of Web Service Related Work Refinement Of The Framework Comments And Recommendations Conclusions References Section 2 Adaptive Neuro-Fuzzy Systems Chapter 5 Adaptive Neuro-Fuzzy Logic System for Heavy Metal Sorption in Aquatic Environments Abstract Introduction Methodology Adaptive Neuro-Fuzzy Inference System (Anfis) Simulation And Forecasting Conclusion Acknowledgements References Chapter 6 Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) Approaches Abstract Introduction Related Works Research Algorithms And Concepts Automatic Heart Disease Diagnosis System’s Design And Implementation.83 Experimental Results And Analysis Conclusion And Future Work References Chapter 7 Reliability Estimation of Services Oriented Systems Using Adaptive Neuro Fuzzy Inference System Abstract Introduction Related Work Discussion And Research Approach Result And Discussion Conclusion And Future Work References Chapter 8 Prediction of Soil Fractions (Sand, Silt and Clay) in Surface Layer Based on Natural Radionuclides Concentration in the Soil Using Adaptive Neuro Fuzzy Inference System Abstract Introduction Materials And Methods Results And Discussion Conclusion Acknowledgements References Section 3 Neuro-Fuzzy Inference Systems Chapter 9 Adaptive Neuro-Fuzzy Inference System for Prediction of Effective Thermal Conductivity of Polymer-Matrix Composites Abstract Introduction Adaptive Neuro-Fuzzy Inference System (Anfis) Results And Discussion Conclusion References Chapter 10 Application of Adaptive Neuro Fuzzy Inference System in Supply Chain Management Evaluation Introduction Construction Supply Chain Methodology Neurofuzzy Model Conclusion References Chapter 11 Application of the Adaptive Neuro-Fuzzy Inference System for Optimal Design of Reinforced Concrete Beams Abstract Introduction Genetic Algorithms The Adaptive Neuro-Fuzzy Inference System Design Of Two-Span Continuous Reinforced Concrete Beams Numerical Results Conclusion References Chapter 12 Comparison between Neural Network and Adaptive Neuro-Fuzzy Inference System for Forecasting Chaotic Traffic Volumes Abstract Introduction Diagnosis Of Chaos Forecasting Models Numerical Results Conclusion References Chapter 13 The Development of an Alternative Method for the Sovereign Credit Rating System Based on Adaptive Neuro-Fuzzy Inference System Abstract Introduction Sovereign Credit Rating And Related Works Description Of Selected Models Empirical Study Empirical Results Conclusions References Section 4 Neuro-Fuzzy Controllers Chapter 14 Implementation of Adaptive Neuro Fuzzy Inference System in Speed Control of Induction Motor Drives Abstract Introduction State Space Approach System Description Anfis Based Speed Controller Adaptive Neuro-Fuzzy Principle Simulation Results Conclusions References Chapter 15 Neuro-Fuzzy Based Interline Power Flow Controller for Real Time Power Flow Control in Multiline Power System Abstract Introduction Working Principle Of IPFC Problem Formation State Space Modeling Of IPFC Fuzzy Control Scheme For Master Converter Of IPFC Ann Control Scheme For Slave Converter Of IPFC Simulation Results And Discussion Conclusion References Chapter 16 Controlling Speed of DC Motor with Fuzzy Controller in Comparison with ANFIS Controller Abstract Introduction Background Methodology Conclusions References Chapter 17 A Neuro-Fuzzy Controller for Collaborative Applications in Robotics Using LabVIEW Abstract Introduction Prototype Description Neuro-Fuzzy Controller Collaborative Task Results Conclusions References Chapter 18 An Adaptive Fuzzy Sliding Mode Control Scheme for Robotic Systems.283 Abstract Introduction Sliding Mode Control (SMC) Decoupled Robot Tracking Control Design Simulation Results Conclusions References Index Back Cover
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