IIR-digital-filter-in-MATLAB

说明：  一个模糊神经网络的s函数，希望对大家有帮助(A fuzzy neural network s function, we want to help)

说明：  轧钢神经网络的MATLAB实现程序，自认为还可以(MATLAB)

matlab file for cample bozorgnaia 2004 attenuation code

语音信号处理中的，小波变换去噪基本算法的源程序，对初学者有一定的参考价值。(Speech signal processing, wavelet transform denoising basic algorithm of the source, for beginners with some reference value.)

永磁同步电机矢量控制，三环闭环，空间矢量调制(Permanent magnet synchronous motor vector control, tricyclic closed-loop, space vector modulation)

sweb a pedestrian MATLAB web session starter

rottation this rottation program in matlab code.this program is used to rottate an image with specified angel.

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)

MATLAB写的拖拉机游戏，有志学习MATLAB的请进(Written in MATLAB tractor games, who are interested to learn MATLAB to Come)

matlab的学习课件，关于科学计算的应用，以数学计算主要要内容(matlab learning courseware, on the application of scientific computing, mathematical calculations primarily to content)