A Chaotic Sequence Generation Model Based on ANFIS
基于神经模糊推理系统的混沌序列产生模型

In this paper, combining both neural networks and fuzzy system's merits, a chaotic sequence generation model is proposed and constructed on the basis of Adaptive Neural Fuzzy Inference System(ANFIS) firstly. Its basic system parameters are adjusted by genetic algorithm. The correlation property and balance performance of chaotic sequences generated by this model is tested. The result shows performances of these chaotic sequences are as good as, or better than that of chaotic sequences directly by chaotic map, which possess very high complexity and suit to act as spread-spectrum communication application's pseudo code.