Novel Neural Network and Its Application in Hysteresis Modeling
Xiaoran An, Meng Xu · 2010
A novel neural network with chaotic property is proposed. The network is composed by different neurons. Some activation function is chaotic iterative function instead of the conventional Sigmoid function. In the process of learning, taking advantage of the randomicity property and ergodicity property of chaos, the generalization capability and the optimizing efficiency can be improved. The simulation results prove the validity of the algorithm.