Computational intelligence and its applications: evolutionary computation, fuzzy logic, neural network and support vector machine techniques/ [electronic resource] /
- World Scientific Publishing Co. Pte. Ltd., 2012.
- 318 p.
Part 1: Evolutionary computation and its applications. Chapter, Lesson, Part Chapter 1: Maximal margin algorithms for pose estimation. Chapter, Lesson, Part Chapter 2: Polynomial modeling in a dynamic environment based on a particle swarm optimization. Chapter, Lesson, Part Chapter 3: Restoration of half-toned color-quantized images using particle swarm optimization with multi-wavelet mutation. Chapter, Lesson, Part Part 2: Fuzzy logics and their applications. Chapter, Lesson, Part Chapter 4: Hypoglycemia detection for insulin-dependent diabetes mellitus: Evolved fuzzy inference system approach. Chapter, Lesson, Part Part 3: Neural networks and their applications. Chapter, Lesson, Part Chapter 5: Study of limit cycle behavior of weights of perceptron. Chapter, Lesson, Part Chapter 6: Artificial neural network modeling with application to nonlinear dynamics. Chapter, Lesson, Part Chapter 7: Solving eigen-problems of matrices by neural networks. Chapter, Lesson, Part Chapter 8: Automated screw insertion monitoring using neural networks: A computational intelligence approach to assembly in manufacturing. Chapter, Lesson, Part Part 4: Support vector machines and their applications. Chapter, Lesson, Part Chapter 9: On the applications of heart disease risk classification and hand-written character recognition using support vector machines. Chapter, Lesson, Part Chapter 10: Nonlinear modeling using support vector machine for heart rate response to exercise. Chapter, Lesson, Part Chapter 11: Machine learning-based nonlinear model predictive control for heart rate response to exercise. Chapter, Lesson, Part Chapter 12: Intelligent fault detection and isolation of HVAC system based on online support vector machine. Chapter, Lesson, Part Cover, Title,Computational intelligence and its applications: evolutionary computation, fuzzy logic, neural network and support vector machine techniques--Preface, Introduction, TOC,Preface--Preface, Introduction, TOC,Contents--References, Appendix, Index,Index.