Control of Inverted Pendulum Based on a Growing Neural Network
Xiaogang Ruan · Jisuanji fangzhen · 2006
A new approach for controlling the inverted pendulum by a growing neural network is presented in this issue.The network adopts a growing algorithm from reference to Growing Cell Structures in order to perform the pattern classification in work field.This growing mechanism is able to be evolved through the continuous growing of the new nerve cell.And the reinforced Hebb Synaptic Modification is used as the self-learning method to make the neurons in different fields to respond to the different stimulus in the best way.In the end of the paper,the experimental results show that the neural network scheme can interact autonomously with the environment and control the inverted pendulum effectively by the growing manners of neural system itself.