Simulation Study on Parameters of SLF Chaotic Neural Network Model
Yong gang Ye · International Journal of Grid and Distributed Computing · 2015
A novel chaotic-neuron model is presented by introducing the non-monotonous activation function which is composed of the Legendre function and the Sigmoid function.The reversed bifurcation of the chaotic neuron model is given and analyzed, meanwhile, how do parameters influence the network convergence speed is discussed.Based on the neuron model, the piecewise simulated annealing SLF chaotic neural network was made by introducing the simulated annealing idea, the model improve the convergence speed, at the same time, the precision of this network have not being influenced.The simulation experiment of function optimization and TSP problem verify the effectiveness of the segmented simulated annealing strategy.