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    Title Page
    Copyright Page
    Editorial Advisory Board
    List of Reviewers
    Preface
    Acknowledgment
    Chapter 1: Application of Soft-Computing Methods in Cellular Manufacturing
    Chapter 2: Multi-Objective Optimization of Manufacturing Processes Using Evolutionary Algorithms
    Chapter 3: Self Control and Server-Supervisory Control for Multiple Mobile Robots, and its Applicability to Intelligent DNC System
    Chapter 4: Online Machining Optimization with Continuous Learning
    Chapter 5: Computational Techniques in Statistical Analysis and Exploitation of CNC Machining Experimental Data
    Chapter 6: Application of Particle Swarm Optimization for Achieving Desired Surface Roughness in Tungsten-Copper Alloy Machining
    Chapter 7: Models and Optimization Techniques of Machining Parameters in Turning Operations
    Chapter 8: Simulation of Grinding by Means of the Finite Element Method and Artificial Neural Networks
    Chapter 9: Application of Taguchi Method with Grey Fuzzy Logic for the Optimization of Machining Parameters in Machining Composites
    Chapter 10: Taguchi, Fuzzy Logic and Grey Relational Analysis Based Optimization of ECSM Process during Micro Machining of E-Glass-Fibre-Epoxy Composite
    Chapter 11: Modeling and Optimization of Abrasive Water Jet Cutting of Kevlar Fiber-Reinforced Polymer Composites
    Chapter 12: Developments in Finite Element Technology and Optimization Formulations for Sheet Metal Forming
    Chapter 13: Joining Sheets to Tubular Profiles by Tube Forming
    Chapter 14: Modeling and Optimization of Gas Metal Arc Welding (GMAW) Process
    Chapter 15: A Tutorial to Developing Statistical Models for Predicting Disqualification Probability
    Compilation of References
    About the Contributors
    Index
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    Index - Pg. 440

    440 Index A abrasive water jet (AWJ) 262 Abrasive water jet machining (AWJM) 263 adaptive control constraints (ACC) 86, 88 adaptive control optimization (ACO) 86, 88 Adaptive Resonance Theory 2 (ART2) 10 Adaptive Resonance Theory (ART1) 9-10 Analysis of Variance (ANOVA) 24, 122, 139, 152, 266, 362 ant colony optimization (ACO) 3, 87, 164, 364 artificial intelligence (AI) 85, 87, 100, 106 Cutting Force Uniformity (CFU) 119 D data normalization 112-114, 128 delta learning rule 3 Design of Experiment (DOE) 359, 362 Deviation model 374 digital strain gauge amplifier 113 direct clustering analysis (DCA) 8 Direct Numerical Control (DNC) 68, 82 disqualification likelihood 371, 383-385