In this paper, an orthogonal functions neural network is used to achieve the control of nonlinear systems. The adaptive controller is constructed by using Chebyshev orthogonal polynomials neural network, which has advantages such as simple stru

混沌的判断指标Lyapunov指数计算,BP神经网络的整个训练过程,有CDF三角函数曲线/三维曲线图。- Chaos indicator for Lyapunov index calculation, The entire training process BP neural network, There CDF trigonometric curve/3D graphs.

BP神经网络的整个训练过程,供做算法研究人员参考，混沌的判断指标Lyapunov指数计算。- The entire training process BP neural network, Algorithm for researchers to do reference, Chaos indicator for Lyapunov index calculation.

粒子图像分割及匹配均为自行编制的子例程，混沌的判断指标Lyapunov指数计算,是一种双隐层反向传播神经网络。- Particle image segmentation and matching subroutines themselves are prepared, Chaos indicator for Lyapunov index calculation, Is a two hidden layer back propagation neural network.