计算机工程与应用Issue(21)：74-79,6.DOI:10.3778/j.issn.1002-8331.1310-0224
SLF混沌神经网络及其应用
SLF chaotic neural network model and its application
摘要
Abstract
As to the monotonous activation function of chaotic neural network(SLF model), it presents a novel transient chaotic-neuron model by introducing the Legendre function and the Sigmoid activation function to compose the non-monotonous activation function. The reversed bifurcation and the maximum Lyapunov exponent of the chaotic neuron are given and the dynamic system is analyzed. Based on the neuron model, a novel transient chaotic-neural network is proposed and applied to non-linear function-optimization and TSP problems. The simulation result indicates the validity of this novel transient chaotic-neural network.关键词
混沌神经网络/Sigmoid函数/Legendre函数/旅行商问题(TSP)/Lyapunov指数Key words
chaotic neural network/Sigmoid function/Legendre function/Travelling Salesman Problem(TSP)/Lyapunov exponent分类
信息技术与安全科学引用本文复制引用
叶永刚,徐耀群..SLF混沌神经网络及其应用[J].计算机工程与应用,2015,(21):74-79,6.基金项目
黑龙江省自然科学基金（No.F201035）。 （）
