A discussion is devoted to the design of a self adaptive and nonlinear dynamic neural network inversion controller according to the feedback linearization theory.
根据反馈线性化理论，讨论了神经网络自适应非线性动态逆控制设计。
This chaotic neural network is used to the 10-city traveling salesman problem (TSP), and the influence of trigonometric function self-feedback on TSP is analyzed.
混沌神经网络的10个城市的旅行商问题（TSP），和三角函数自反馈对TSP的影响进行了分析。
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