基于PID神经网络的系统控制算法

北大竞赛题,非常好的。好不容易才找到的东东！(North title race, very good. Hard to find the NEE!)

我用的实现图像分水岭分割的代码！感觉还可以，要用的自己拿去改改(I use the watershed segmentation of image code!)

可以把mat格式的数据集转变为txt格式用来分类的文件。(You can format the data into a set of mat txt format used to classify documents.)

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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关于iradon变换。matlab关于iradon变换。matlab关于iradon变换。(Matlab on the iradon transform.Matlab on the iradon transform.Matlab on the iradon transform.)

磁滞曲线的建立，基于MATLAB编辑器条件下，运用数学公式解方程的方法，求解微分方程(Establishment of hysteresis curve)

横向拉应力和平面剪应力的损伤模型umat(Damage Model umat plane transverse tensile stress and shear stress)

说明：  Stack自己写的工具箱，MCA方面的大牛，很多相关文献都是他写的(Stack wrote his own toolbox, professor on MCA, and many related documents were written by him.)

模拟数据分析处理的过程，中介真值程度度量，基于中介真值程度度量的图像分割最大似然（ML）准则和最大后验概率（MAP）准则，在matlab R2009b调试通过，数学方法是部分子空间法，计算多重分形非趋势波动分析matlab程序。