Intelligent modeling method is an effective way to realize the modeling of complex systems and is one of the key technologies to realize intelligent control. From the perspective of simulating and learning biology, this paper summarizes the current commonly used intelligent modeling and optimization algorithms; introduces the application and advantages and disadvantages of artificial neural networks, fuzzy logic, genetic algorithms and particle swarm optimization; points out the research hot spots and trends of intelligent modeling methods.
