Neural network design on the united arithmetic of chaos particle swarm and discrete binary particle swarm

Utilizing the optimizing capability of PSO arithmetic, this paper makes use of the united arithmetic of chaos particle swarm optimization and discrete binary particle swarm optimization simultaneously processing parameters of joint structure of neural network and connective power. Experimental result shows that this arithmetic is an effective neural network training arithmetic which can effectively amend neural network structure and parameter´s optimization, enhance network capability.