Identification of Chaotic Systems Using a New Growing Neural-Gas Network
混沌系统辨识的一种新的生长型神经气方法

This paper proposes a novel growing neural gas self organizing algorithm to identify chaotic systems by imitating biological group population growing process.The algorithm can create new neurons according to the stimulation of learning samples.Thus,the problem of under training for some neurons is well resolved,and the whole network training process is greatly improved.Some simulations on Lorenz system are included.