Cover image for Practical Applications of Soft Computing in Engineering.
Practical Applications of Soft Computing in Engineering.
Title:
Practical Applications of Soft Computing in Engineering.
Author:
Cho, Sung-Bae.
ISBN:
9789812810281
Personal Author:
Physical Description:
1 online resource (439 pages)
Series:
Fuzzy Logic Systems Institute (Flsi) Soft Computing Series ; v.4

Fuzzy Logic Systems Institute (Flsi) Soft Computing Series
Contents:
Contents -- Series Editor's Preface (To Yoon-Bin and Joon-Hee) -- Volume Editor's Preface -- Chapter 1 Automatic Detection of Microcalcifications in Mammograms Using a Fuzzy Classifier -- 1.1 Introduction -- 1.2 Background Study -- 1.3 Object classification -- 1.4 Uncertainty in medical imaging and fuzzy set theory -- 1.5 Applications of fuzzy theory in image understanding -- 1.6 Fuzzy microcalcification detector -- 1.7 Overview of the fuzzy method -- 1.8 Fuzzy detection -- 1.9 Validation of the fuzzy microcalcification detector -- 1.10 Experimental results -- 1.11 Conclusions -- Chapter 2 Software Deployability Control System: Application of Choquet Integral and Rough Sets -- 2.1 Introduction -- 2.2 Basic Approach to Controlling Software Cost -- 2.3 Fuzzy Sets: Basic Concepts -- 2.4 Rough Sets: Basic Concepts -- 2.5 Petri Net Model of Cost Estimation Process -- 2.6 Example Software Cost Estimation -- 2.7 Concluding Remarks -- Chapter 3 Predictive Fuzzy Model for Control of an Artificial Muscle -- 3.1 Introduction -- 3.2 APM Analytical Model and Control Law synthesis -- 3.3 APM Predictive Fuzzy Model -- 3.4 Computer Simulation -- 3.5 Conclusions -- References -- Chapter 4 Fuzzy Supervisory Control with Fuzzy-PID Controller and its Application to Petroleum Plants -- 1.1 Introduction -- 1.2 Process Description and Control Problems -- 1.3 Proposed Hierarchical Control System -- 1.4 Control Result of Fuzzy-PID Controller with Supervisor in Actual Plant -- 1.5 Conclusion -- Chapter 5 Genetic Algorithm-Based Predictive Control for Nonlinear Processes -- 5.1 Introduction -- 5.2 System identification by using neural networks -- 5.3 Unconstrained GA-based predictive control -- 5.4 Constrained GA-based predictive control -- 5.5 GA-based predictive control for MIMO systems -- 5.6 Concluding remarks.

Chapter 6 Indirect Neuro-Control for Multivariable Nonlinear Systems with Application to 2-bar Load Systems -- 6.1 Introduction -- 6.2 Two 2-bar systems holding an object -- 6.3 Indirect neuro-controi of two 2-bar systems -- 6.4 Analysis on error dynamics of the neuro-control system -- 6.5 Experimental results -- 6.6 Conclusions -- Chapter 7 Evolutionary Computation for Information Retrieval based on User Preference -- 7.1 Introduction -- 7.2 Backgrounds -- 7.3 Artificial Life Agents -- 7.4 An Example -- 7.5 Experimental Results -- 7.6 Concluding Remarks -- Chapter 8 On-Line Tool Condition Monitoring based on a Neurofuzzy Intelligent Signal Feature Classification Procedure -- 1. Introduction -- 2. Tool wear relevant features and the tool condition monitoring system -- 3. Fuzzy membership function -- 4. Fuzzy approaching degree -- 5. Fuzzy driven neural network -- 6. Learning -- 7. Tool wear states classification -- 8. Conclusions -- Chapter 9 Feature Extraction by Self-Organized Fuzzy Templates with Applications -- 9.1 Introduction -- 9.2 Feature Extraction by Modified LVQ and Fuzzy Template Matching -- 9.3 Application to the Discrimination between Gas and Water Pipes -- 9.4 Comparisons on the Ability of Discrimination -- 9.5 Conclusions -- Chapter 10 Inference of Self-Excited Vibration in High-Speed End-Milling based on Fuzzy Neural Networks -- 10.1 Introduction -- 10.2 Milling Experimental System -- 10.3 Chatter Prediction Model -- 10.4 Simulation Results -- 10.5 Experimental Verification -- 10.6 Conclusions -- Chapter 11 Fuzzy Logic and Neural Networks Approach - A Way to Improve Overall Performance of Integrated Heating Systems -- 1.1 Introduction -- 1.2 Integrated Space and Water Heating Systems -- 1.3 Integrated system performance and control strategy -- 1.4 Fuzzy Logic Control.

1.5 Neural Networks for Predicting Building Usage Pattern -- 1.6 Conclusions -- Chapter 12 Application of Fuzzy Pattern Matching and Genetic Algorithms to Rotating Machinery Diagnosis -- 12.1 Introduction -- 12.2 Components of the Fuzzy Diagnosis System -- 12.3 Diagnosis Optimization using Genetic Algorithms -- 12.4 Application Results -- 12.5 Concluding Remarks -- Chapter 13 Design and Tuning a Neurofuzzy Power System Stabilizer Using Genetic Algorithms -- 13.1 Introduction -- 13.2 Neurofuzzy Control Systems -- 13.3 Genetic Algorithms for Adjusting the Neurofuzzy Controller -- 13.4 Adjusting the parameters of a Neurofuzzy Power System Stabiliser -- 13.5 Conclusions -- 13.6 Appendix -- Chapter 14 Techniques of Soft Computing for Emergency Management in a Mineral Oils Deposit -- 14.1 Introduction -- 14.2 The case of study -- 14.3 The actual fire extinction procedure -- 14.4 The model of the plant -- 14.5 The genetic approach -- 14.6 Problem analysis -- 14.7 The genetic solution -- 14.8 The genetic result -- 14.9 The neuro fuzzy controller -- 14.10 Rule generalization and compression -- 14.11 Conclusions -- Chapter 15 An Application of Logic Programs with Soft Computing Aspects to Fault Diagnosis in Digital Circuits -- 15.1 Introduction -- 15.2 Purpose and Aim in Logic Programs with Functor Set -- 15.3 Logic Programs with Functor Set -- 15.4 An Implementation of Theorem Prover for Logic Programs with Functor Set -- 15.5 Logic Programming and Soft Computing -- 15.6 Overview of the Diagnostic System for Digital Circuits -- 15.7 Representation of Digital Circuits in Logic Programs -- 15.8 Simulation in Circuits with Functor Set -- 15.9 Fault Diagnosis in Circuits -- 15.10 Structure of Diagnostic System -- 15.11 Diagnosis through User Interface -- 15.12 Evaluation of Execution Time -- 15.13 Concluding Remarks.

Chapter 16 Determination of the Motion Parameters from the Perspective Projection of a Triangle -- 16.1 Introduction -- 16.2 Model and Notations -- 16.3 Surface Normal Vector of a Triangle -- 16.4 Parameter Estimation -- 16.5 Experimental Results -- 16.6 Conclusion -- About the Authors -- Keyword Index.
Abstract:
Soft computing has been presented not only with the theoretical developments but also with a large variety of realistic applications to consumer products and industrial systems. Application of soft computing has provided the opportunity to integrate human-like vagueness and real-life uncertainty into an otherwise hard computer program. This book highlights some of the recent developments in practical applications of soft computing in engineering problems. All the chapters have been sophisticatedly designed and revised by international experts to achieve wide but in-depth coverage. Contents: Automatic Detection of Microcalcifications in Mammograms Using a Fuzzy Classifier (A P Drijarkara et al.); Predictive Fuzzy Model for Control of an Artificial Muscle (P B Petrovi(); Evolutionary Computation for Information Retrieval Based on User Preference (H-G Kim & S-B Cho); Fuzzy Logic and Neural Networks Approach - A Way to Improve Overall Performance of Integrated Heating Systems (E Entchev); Design and Tuning a Neurofuzzy Power System Stabilizer Using Genetic Algorithms (A Afzalian & D A Linkens); An Application of Logic Programs with Soft Computing Aspects to Fault Diagnosis in Digital Circuits (H Sakai et al.); Determination of the Motion Parameters from the Perspective Projection of a Triangle (M M Sein & H Hama); and other papers. Readership: Graduate students, industrial researchers and academics in fuzzy logic, software engineering, neural networks and artificial intelligence.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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