RPLS

神经网络训练根据Kolmogorov定理，输入层有14个节点，所以中间层有29个节点 ％中间层神经元的传递函数为 tansig ％输出层有8个节点，其神经元传递函数为logsig ％训练函数采用traingdx(neural network training under the Kolmogorov theorem, input layer has 14 nodes, Therefore, the intermediate layer has 29% of nodes middle layer neurons in the transfer function for the output layer tansig% have eight nodes, its neuron transfer function for the training function logsig% used traingdx)

实现了 SVM 在医学图像分类中的应用，通过医学图像的实验结果验证了该方法的有效性。 对 SVM 算法进行了深入研究，结合量子行为的粒子群算法的优点，提出了一种量子行为的粒子群算法和 SVM 结合的混合分类模型，应用于医学图像的分类中。 深入研究了 K-means 算法，结合了无监督聚类和监督分类方法的优点，提出了一种 K-means 和 SVM 结合的混合分类模型，并应用于医学图像的分类中。 利用粒子群和量子行为的粒子群算法对 K-means 算法进行了改进，并将改进的K-means 算法与 SVM 算法结合形成全自动分类模型，并且把它应用于医学图像的分类中。 (SVM in the classification of medical image applications, medical images through the experimental results verify the effectiveness of the method. SVM algorithm conducted in-depth research, combined with the quantum behavior of the advantages of particle swarm optimization, PSO and SVM combined behavior of a quantum mixed classification model, applied to medical image classification. In-depth study of the K-means algorithm combines the advantages of unsupervised clustering and supervised classification method, propose a hybrid combination of a K-means and SVM classification model, and applied to the classification of medical images. Improved particle swarm algorithm using particle swarm and quantum behavior of the K-means algorithm, and improved K-means algorithm and SVM algorithm combined with the formation of a fully automatic classification model, and apply it to medical image classification.)

两倍过采样的频域均衡器，采用MMSE算法最小化均方误差(two upsample frequency decision feedback equaliter，with MMSE criterion)

Matlab神经网络工具箱应用简介,XIWANGYOUYONG(About Matlab neural network toolbox application)

说明：  walshl变换的定义的原代码（m）及说明文件（txt）。(the instruction(.txt) and defination(.m) of walsh transform )

合成孔径雷达sar信噪比相对于整数脉冲的MATLAB仿真程序，最后结果以计算结果形式给出(Signal-to-noise ratio relative to synthetic aperture radar sar integer pulse MATLAB simulation program, the final results are given in the form of a chart)

main function for retinal image viewer

人提供了一种小波去噪和小波包去噪的对比研究的matlab代码，供大家相互学习和参考(Provide a comparative study of wavelet de-noising and wavelet packet denoising matlab code for everyone to learn from each other and reference)

相控阵雷达数字去斜仿真，发射信号和回波信号，混频滤波信号，正交解调，滤波器设计 使用带通滤波器，二次时延；两个目标(Phased array radar to ramp digital simulation, the transmitted signal and the echo signal, mixing the filtered signal, quadrature demodulation, filter design use a band-pass filter, the second delay two goals)

智能控制算法，小脑模型，神经网络，函数逼近(Intelligent control algorithm, cerebellar models, neural networks, function approximation)