【摘要】 该文提出了基于轨道空间压缩的混沌神经网络控制方法,利用该方法对混沌神经网络进行控 制,使神经网络的输出稳定地收敛于与网络起始模式有最小汉明距离的存储模式或其反相模式上。该控制方 法简单易行,物理意义明确。更多还原

【Abstract】 In this paper, a controlling chaos method of the orbit space compression is proposed for a Chaotic Neural Network(CNN). The computer simulation of the chaotic behaviors of the CNN proves that each pattern can be controlled using the orbit space compression. Starting from any initial state the CNN can converge in a stored pattern or its inverse pattern, which has the smallest Hamming distance with the initial state. The controlling method of the orbit space compression shows clear physical meaning and can be easily carried out.更多还原