Recent Developments in Fuzzy Logic, Neural Networks, and Optimization Algorithms

We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing.

Type-1 and Type-2 Fuzzy Logic

There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications.

Meta-Heuristics and Applications

There are also some papers that present theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications.

Neural Networks and Optimization

There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application.

Pattern Recognition

Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.