| Acknowledgements | 第1-9页 |
| Abstract | 第9-13页 |
| Table of Contents | 第13-17页 |
| Abbreviation | 第17-19页 |
| List of Tables | 第19-20页 |
| List of Figures | 第20-22页 |
| Chapter 1 Introduction | 第22-26页 |
| ·Background | 第22-23页 |
| ·Objective of this Study | 第23页 |
| ·Research Methodology | 第23-24页 |
| ·Thesis Outlines | 第24-26页 |
| Chapter 2 Literature Review | 第26-42页 |
| ·Factors of Cotton Quality | 第27-29页 |
| ·Relationships Between Fiber Properties and Yarn Properties | 第29-31页 |
| ·A Review of Modeling and Prediction of Cotton Yarn Properties | 第31-32页 |
| ·Performance of an Artificial Neural Network during the Prediction of Yarn Properties | 第32-36页 |
| ·Hybrid Neural Network | 第36-37页 |
| ·Performance of a Support Vector Machine during the Prediction of Yarn Properties | 第37-40页 |
| ·Dimensionality Reduction | 第40-42页 |
| Chapter 3 Data Mining Techniques | 第42-69页 |
| ·Artificial Neural Networks (ANN) | 第42-53页 |
| ·Introduction | 第42-44页 |
| ·A Brief History | 第44-46页 |
| ·Feedforward Neural Network Models | 第46-53页 |
| ·Model Structure | 第47-51页 |
| ·Network Training | 第51-52页 |
| ·Modeling Issues | 第52-53页 |
| ·Support Vector Machines (SVM) | 第53-69页 |
| ·Introduction | 第53-54页 |
| ·Hyperplane Classifiers | 第54-62页 |
| ·The Linear Classifier | 第55-59页 |
| ·The Kernel Trick | 第59-61页 |
| ·The Optimal Margin Support Vector Machine | 第61-62页 |
| ·Non-Separable SVM Models | 第62-67页 |
| ·Soft Margin Support Vector Classifiers | 第63-64页 |
| ·Support Vector Regression | 第64-66页 |
| ·SVM-like Models | 第66-67页 |
| ·Implementation Issues with SVM | 第67-69页 |
| ·Optimization Techniques | 第67-68页 |
| ·Model Selection | 第68-69页 |
| Chapter 4 A Performance of Support Vector Machine Based on Universal Kernel inPrediction of Cotton Yarn Properties | 第69-93页 |
| ·Introduction | 第69-70页 |
| ·Material and Methods | 第70-76页 |
| ·2.1 Data Set | 第70-71页 |
| ·Introduction to Support Vector Machines (SVM) | 第71-74页 |
| ·Artificial Neural Network | 第74-75页 |
| ·Implementation | 第75页 |
| ·Evaluating the Prediction Performance | 第75-76页 |
| ·Results and Discussion | 第76-92页 |
| ·The Performance of Cotton Carded Yarn Prediction | 第76-82页 |
| ·Data Set | 第77页 |
| ·Results and Comparisons | 第77-82页 |
| ·The comparison Performance of Prediction of Ring and Compact Spinning Yarn | 第82-89页 |
| ·The Data | 第82-83页 |
| ·Optimization of ANN Model | 第83-84页 |
| ·Optimization of SVM models | 第84-87页 |
| ·Results and Comparisons | 第87-89页 |
| ·The Performance of Prediction Yarn Tenacity | 第89-92页 |
| ·Data Set | 第89-90页 |
| ·Results and Comparisons | 第90-91页 |
| ·Compare the SVM Models by Significance Test | 第91-92页 |
| ·Conclusions | 第92-93页 |
| Chapter 5 Feature Selection | 第93-117页 |
| ·Introduction | 第93-94页 |
| ·The Review of Feature Selection Approach | 第94-95页 |
| ·The Application of Feature Ranking Technique | 第95-105页 |
| ·Introduction | 第95-96页 |
| ·Feature Ranking Methods | 第96-97页 |
| ·Ranking Method by Principal Component Analysis (Weight by PCA) | 第96页 |
| ·Ranking Method by Support Vector Machines (Weight by SVM) | 第96-97页 |
| ·Relief (RLF) | 第97页 |
| ·Correlation-Based Feature Selection (CFS) | 第97页 |
| ·The Dataset | 第97-98页 |
| ·Experimental Results | 第98-104页 |
| ·Conclusion | 第104-105页 |
| ·The Application of Genetic Algorithm for Feature Selection in Optimization of SVMR Model for Prediction of Yarn Tenacity | 第105-117页 |
| ·Introduction | 第105页 |
| ·Data Set | 第105-106页 |
| ·GA Feature Selection | 第106-108页 |
| ·SVMR Algorithm | 第108-110页 |
| ·Experimental Results and Comparisons | 第110-116页 |
| ·A genetic Algorithm (GA) for Feature Selection | 第110-111页 |
| ·Optimization of Parameters and Implementation of SVMR | 第111-112页 |
| ·Results and Comparisons | 第112-116页 |
| ·Conclusions | 第116-117页 |
| Chapter 6 Summary and Recommendation | 第117-122页 |
| ·Summary | 第117-120页 |
| ·Recommendation | 第120-122页 |
| References | 第122-132页 |
| List of Publications | 第132-133页 |
| Appendix A | 第133-141页 |
| A.1 The datasets collected from spinning mill in Zhengzhou, Henan Province, China | 第133-135页 |
| A.2 The datasets collected from spinning mill in Xuchang, Henan Province, China | 第135-139页 |
| A.2.1 Dataset of ring spun yarn | 第135-137页 |
| A.2.2 Dataset of compact spun yarn | 第137-139页 |
| A.3 The dataset collected from the published paper | 第139-141页 |
| Appendix B | 第141-152页 |
| B.1 Grid search approach to optimize the SVM models | 第141-145页 |
| B.2 T Test Significance | 第145-148页 |
| B.3 Feature ranking techniques | 第148-150页 |
| B.4 GA for Feature Selection | 第150-152页 |
