Synergetic pattern recognition based on particle swarm optimization algorithm

Prototype pattern vector denotes different pattern in synergetic pattern recognition, and the solution of prototype pattern is the key problem in the process of synergetic pattern recognition. In this paper, a method of the solution of prototype pattern vectors based on particle swarm optimization (PSO) is put forward. The new method can capture the optimized solution of prototype pattern, since PSO algorithm is a global optimizing technology and can realize parallel, random and self-adapt colony search. The experiments demonstrate this method cannot only avoid the local best value, but improves the classification performance.