Soft computing applications: the advent of hybrid systems
Piero P. Bonissone · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
Soft computing is a new field of computer sciences that deals with the integration of problem- solving technologies such as fuzzy logic, probabilistic reasoning, neural networks, and genetic algorithms. Each of these technologies provide us with complementary reasoning and searching methods to solve complex, real-world problems. We will analyze some of the most synergistic combinations of self computing technologies, with an emphasis on the development of smart algorithm-controllers, such as the use of FL to control GAs and NNs parameters. We will also discuss the application of GAs to evolve NNs or tune FL controllers; and the implementation of FL controllers as NNs tuned by backpropagation-type algorithms. We will conclude with a detailed description of a GA-tuned fuzzy controller to implement a train handling control.