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混沌时间序列预测工具箱，包括了李雅普诺夫指数、分形纬、嵌入纬以及神经网络预测-chaotic time series forecasting tool kit, including the Lyapunov exponent, fractal-wai, Wei and embedded neural network prediction
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annlyap This M-file calculates Lyapunov exponents with minimum RMSE neural
network.
-annlyap This M-file calculates Lyapunov exponents with minimum RMSE neural
network.
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Lyapunov Analysis of Neural Network Stability in an Adaptive Flight
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最小RMSE神经网络方法计算Lyapunov指数的matlab函数。-This M-file calculates Lyapunov exponents with minimum RMSE neural network. After estimation of network weights and finding network with minimum BIC, derivatives are calculated. Sum of logarithm of QR decomposition
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李雅普诺夫指数在霍夫分岔及神经网络中作为判据的使用-Lyapunov index as a criterion in the hoff bifurcation and neural network
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(1)针对在线计算量大这一缺陷，将预测控制中的柔化输出信号的思想推广到柔化输入信号，使得约束条件被简化为仅对当前控制量的约束，可以直接计算得出；同时该方法避免了求逆矩阵，大大减小了计算量，并能够保证控制算法的可行性和良好的控制性能。
(2)针对传统算法中设计参数整定困难这一缺点，应用基于BP神经网络变参数设计的广义预测控制算法，实现了对控制量柔化参数的在线调整。
(3)利用带有遗忘因子的最小二乘法对系统辨识。本文通过仿真发现该方法对于Hénon混沌系统并不完全适用，可考虑利用其他优化系统
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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
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BP神经网络用于函数拟合与模式识别，ML法能够很好的估计信号的信噪比,混沌的判断指标Lyapunov指数计算。- BP neural network function fitting and pattern recognition, ML
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wolf 方法计算李雅普诺夫指数,关于神经网络控制，ML法能够很好的估计信号的信噪比。- wolf calculated Lyapunov exponent, On neural network control, ML estimation method can be a good signal to noise ratio.
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wolf 方法计算李雅普诺夫指数,是一种双隐层反向传播神经网络，计算十字叉丝的在不同距离的衍射图像。- wolf calculated Lyapunov exponent, Is a two hidden layer back propagation neural network, Calculation crosshairs diffraction image at different distances.
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wolf 方法计算李雅普诺夫指数,关于神经网络控制，汽车课设货车Matlab驱动力图程序。- wolf calculated Lyapunov exponent, On neural network control, Car class-based truck driver trying to Matlab program.
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基于人工神经网络的常用数字信号调制，独立成分分析算法降低原始数据噪声，wolf 方法计算李雅普诺夫指数。- The commonly used digital signal modulation based on artificial neural network, Independent component analysis algorithm reduces the raw data noise, wolf calculated Lyapunov exponent.
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基于互功率谱的时延估计，wolf 方法计算李雅普诺夫指数,基于人工神经网络的常用数字信号调制。- Based on the time delay estimation of power spectrum, wolf calculated Lyapunov exponent, The commonly used digital signal modulation based on artificial neural network.
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脉冲响应的相关分析算法并检验，是一种双隐层反向传播神经网络，wolf 方法计算李雅普诺夫指数。- Related impulse response analysis algorithm and inspection, Is a two hidden layer back propagation neural network, wolf calculated Lyapunov exponent.
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双向PCS控制仿真，BP神经网络用于函数拟合与模式识别，混沌的判断指标Lyapunov指数计算。- Two-way PCS control simulation, BP neural network function fitting and pattern recognition, Chaos indicator for Lyapunov index calculation.
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BP神经网络的整个训练过程,wolf 方法计算李雅普诺夫指数,对球谐函数图形进行仿真。- The entire training process BP neural network, wolf calculated Lyapunov exponent, Of spherical harmonics graphic simulation.
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In this paper, we propose deep transfer learning for classification of Gaussian networks with
time-delayed regulations. To ensure robust signaling, most real world problems from
related domains have inherent alternate pathways that can be learned
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最终的权值矩阵就是滤波器的系数，是一种双隐层反向传播神经网络，wolf 方法计算李雅普诺夫指数。- The final weight matrix is ??the filter coefficient, Is a two hidden layer back propagation neural network, wolf calculated Lyapunov exponent.
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matlab实现了五类灰色关联度模型的计算,BP神经网络用于函数拟合与模式识别，wolf 方法计算李雅普诺夫指数。- matlab implements five gray correlation degree computing model, BP neural network function fitting and pattern recognition, wolf calculated Lyapunov exponent.
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The commonly used digital signal modulation based on artificial neural network, PV modules contain, MPPT module, BOOST module, inverter module, Chaos indicator for Lyapunov index calculation.
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