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Python Tensorflow机器学习实战中文版(Python Tensorflow introduction to practical coding)

对比卡尔曼滤波和维纳滤波对一阶gaussian-markov过程的滤波预测。(Contrast Kalman filter and Wiener filter of first-order gaussian-markov forecast filtering process.)

改进的极限学习机算法，具有更好的预测性能和稳定性(Improved limit learning machine algorithm)

说明：  利用matlab伪谱法实现火箭发射最优控制(Optimal control of rocket launching based on MATLAB pseudospectral method)

使用Y矩阵来综合得到耦合矩阵M中各元素的matlab源代码(The Y matrix to obtain an integrated coupling matrix M of each element matlab source code)

使用经典R/S方法计算赫斯特指数，以衡量数据的分型特性(using R/S method to caculate the Hurst exponent)

相场法材料计算的modelc-alloy 对应的基础代码，自取基础有用(The basic code corresponding to modelc-alloy for phase field method material calculation, useful for self-extraction)

通过具有随机结构参数的四分之一车辆模型研究了具有不确定性结构参数的车辆在受到来自道路的随 机激励作用下的振动响应问题。将簧上质量、簧下质量、悬挂阻尼、悬挂刚度以及轮胎刚度均认为是随机变量。将路面的不平整引起的对车辆的激励看作高斯随机过程并通过简单指数功率谱密度来建立力学模型。(By a quarter vehicle model with random parameters studied vehicle structure uncertain structural parameters of the vibration by the random excitation the road response under question. The sprung mass, unsprung mass, suspension damping, suspension stiffness and rigidity of the tire are considered to be random variables. The excitation caused by uneven road vehicle regarded as Gaussian random process and to create a mechanical model of a simple exponential power spectral density.)

FFT快速傅立叶变换，DSP实际例子，学习的一手好资料。放进CCS仿真(FFT Fast Fourier transform, DSP practical examples)

说明：  用卡尔曼滤波方法对圆周运动进行预测的算法实现(Kalman filtering method using circular motion algorithm to predict)