通过对神经网络模型的研究,将神经动力学的Shunting模型应用到目标跟踪系统中.该算法具有模型简单、参数不敏感、网络运算不易饱和、算法速度快,且不需要预设工作环境等优点,适用于未知动态环境下的优化目标跟踪.Matlab仿真试验表明,该算法可解决动态环境下的目标跟踪.
A neural network based neuron dynamics model was studied and applied to solve the target tracking problem in unknown dynamic environments. The shunting-model-based algorithm has advantages sensitive to algorithm parameters, quick, and suitable to various dynamic environments. The that it is simple, not effectiveness and effi- ciency of the proposed algorithm are demonstrated by simulation studies with several cases in Matlab.