Chapter, Lesson, Part 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.

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.