Hyperchaos complication of chaotic neural network
Xingzhou Zhang · Applied science and technology · 2008
Complexity of chaos is an important index for evaluation of the security of algorithms in chaotic secure communication.Following a synthetical analysis on the key parameters of a typical chaotic neural network,such as Lyapunov exponent spectrum,correlative function,the frequency spectrum and power spectrum of output sequence,we found the existence of hyperchaotic phenomenon in the network.A comprehensive evaluation of its complication was made.The test was conducted to study the effect of the parameters on Lyapunov exponential spectrum of chaotic neural network.The results show that the output of network can be changed as demanded.