Parameter estimation of the pyrolysis model for fir based on particle swarm algorithm

摘要: In order to solve the problem of parameter estimation nonlinear model in chemical engineering, a novel heuristic optimization approach is presented. The proposed develops and employs particle swarm (PSO) technique search for optimal solution estimation. Firstly, converts into an equation solving that prone be optimized. Secondly, two extrema PSO are used as target, all particles synchronously move through space roundly efficiently find optimum feasibility method demonstrated by example pyrolysis fir.