Neural network control of nonlinear dynamic systems using hybrid algorithm

作者：Ben Nasr Mounir^*; Chtourou Mohamed

来源：Applied Soft Computing, 2014, 24: 423-431.

DOI：10.1016/j.asoc.2014.07.023

• Neural network control
• Nonlinear systems
• Gradient descent method
• Supervised and unsupervised learning
• Self-organizing map
• Hybrid learning

In this paper, a hybrid method is proposed to control a nonlinear dynamic system using feedforward neural network. This learning procedure uses different learning algorithm separately. The weights connecting the input and hidden layers are firstly adjusted by a self organized learning procedure, whereas the weights between hidden and output layers are trained by supervised learning algorithm, such as a gradient descent method. A comparison with backpropagation (BP) shows that the new algorithm can considerably reduce network training time.

• 出版日期2014-11