Simulation results affirmed the conclusions which is obtained by theory analysis, and those results also show that the improved Wang-Smith CNN is more effective than original Wang-Smith CNN in resolving combination optimal problems (COP).

 
  • 在此基础上,提出一种改进的Wang-Smith混沌神经网络模型,并且从单个神经元和神经网络两个方面深入分析该模型的动力学特性。 仿真结果进一步证明了对于以上两种模型理论分析所得结果的正确性,并且表明了改进后的Wang-Smith混沌神经网络的性能优于以前的Wang-Smith混沌神经网络。
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