PWM--switching-power-supply

这是书上的共轭方向方法的两个例子的程序，大家可以参考一下。(This is a book on the method of conjugate direction procedures for two examples, we can refer to.)

1采用遗传算法对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征进行特征选择，并基于所得到的最佳特征采用SVM设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。提示：可以用6位的0/1进行编码，适应度函数可以考虑类似 。(1 genetic algorithm for boys and girls in the sample data of height, weight, like math, like literature, like sports, like pattern recognition feature a total of six feature selection, design and use of SVM classifier for boys and girls based on the best features of the resulting and calculating prediction performance model (including SE, SP, ACC and AUC). Tip: 6 may be encoded with the 0/1, the fitness function may be considered similar.)

说明：  该工具包提供了一个用于通过算法、预训练模型和应用程序来设计和实现深度神经网络的框架。您可以使用卷积神经网络（ConvNet、CNN）和长短期记忆 (LSTM) 网络对图像、时序和文本数据执行分类和回归。应用程序和绘图可帮助您可视化激活值、编辑网络架构和监控训练进度。(The toolbox provides a framework for designing and implementing deep neural networks through algorithms, pre training models and applications. You can use convolutional neural networks (convnet, CNN) and long and short term memory (LSTM) networks to perform classification and regression on image, temporal, and text data. Applications and graphics help you visualize activation values, edit network architecture, and monitor training progress.)

Impact of Dispersed Generation in the Power System Performance

how to placement by GA

Principal component analysis for a voice signal

Calendar content provider. The contract between this provider and applications.

利用多尺度小波分解函数dwt2对图像进行二尺度小波分解（仍然采用db1小波）((Still using db1 wavelet multi-scale wavelet decomposition of the two-scale wavelet decomposition function dwt2 image))

MIMO OFDM wireless communications MATLAB 的源程序，包含了QPSK_demapper.m QPSK_mapper.m QPSK_slicer.m

In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to solve a linear system of equations. It is named after the German mathematicians Carl Friedrich Gauss and Philipp Ludwig von Seidel, and is similar to the Jacobi method. Though it can be applied to any matrix with non-zero elements on the diagonals, convergence is guaranteed if the matrix is either diagonally dominant, or symmetric and positive definite.