Table of Content: Chapter 1 Dynamic fuzzy machine learning 1.1 Raise of dynamic fuzzy machine learning 1.2 Dynamic fuzzy machine learning and model 1.3 Algorithms for dynamic fuzzy machine learning systems 1.4 Process control of dynamic fuzzy machine learning 1.5 Algorithms for dynamic fuzzy relations 1.6 Summary Chapter 2 Dynamic fuzzy autonomous learning algorithms 2.1 Development of autonomous learning 2.2 Theoretical framework based on DFL (Dynamic fuzzy learning) for autonomous learning sub-space 2.3 Algorithms based on DFL for autonomous learning sub-space 2.4 Summary Chapter 3 Dynamic fuzzy decision tree learning 3.1 Development of decision tree learning 3.2 Dynamic fuzzy decision tree learning 3.3 Technical difficulties in dynamic fuzzy decision tree 3.4 Pruning strategy in dynamic fuzzy decision tree Chapter 4 Agent learning based on DFL 4.1 Introduction 4.2 Mental model based on DFL 4.3 Single agent machine learning based on DFL 4.4 Multi agent machine learning based on DFL 4.5 Summary Chapter 5 Agent ubiquitous machine learning 5.1 Introduction 5.2 Agent ubiquitous machine learning 5.3 Classifier design for agent ubiquitous machine learning 5.4 Summary Chapter 6 Bayesian quantum stochastic learning 6.1 Raise of Bayesian quantum stochastic learning 6.2 Theoretical framework 6.3 Bayesian quantum stochastic learning model 6.4 Bayesian quantum stochastic learning algorithm and design for network structure 6.5 Bayesian quantum stochastic learning algorithm and design for network parameter 6.6 Bayesian quantum stochastic learning algorithm and design for missing data 6.7 Summary References Appendix Skryť popis