基于遗传算法的BP神经网络优化算法

带通QPSK误码率仿真——蒙特卡洛在通信系统中的应用(Band QPSK ber simulation )

this program takes the input from any txt or doc and fills the values in the excel sheet useful for putting the values after taking from any program out put

RS纠错编码原理及其实现方法[第三版] 鉴于很多读者来信，特别是初学者对于如何求得RS生成多项式g[x]不是甚理解，特给出计算g[x]的MATLAB程序。(RS error-correcting coding theory and implementation methods [third edition] in view of a lot of letters from readers, especially for beginners on how to get RS to generate polynomial g [x] is not even understanding, give special calculation of g [x] in MATLAB procedures.)

Display complex-valued data using domain coloring

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)

说明：  它包含了大学生典型的数学建模竞赛matlab源代码，非常实用。(It contains the typical college students of mathematical modeling contest matlab source code, very useful.)

说明：  GPS噪音的matlab仿真的一个例子，结果正确。(GPS noise matlab simulation of an example of the results correctly.)

matlab源代码，采用粒子群优化算法和支持向量回归机用于传感器建模，代码完整，欢迎下载。(matlab source code, using particle swarm optimization and support vector regression for sensor modeling, code integrity, welcome to download.)

自适应子空间辨识，通过输入输出数据，计算状态空间方程，建模并预测。(Adaptive subspace identification, through input and output data, calculates the state space equation, modeling and forecasting.)

matlab的图论工具箱，基本够用了，大家试一试。(matlab toolbox graph theory, basic enough, please try.)