fanxiangjifeng

详细介绍wincvs的使用，可以让初学者掌握如何使用wincvs进行文件版本管理(Details wincvs use, allowing beginners to learn how to use wincvs for file version management)

<模式识别与智能计算——matlab技术实现>书的配套程序(" Pattern Recognition and Intelligent Computing- matlab technology" book matching program)

用于对ABAQUS的INP文件进行修改 能够实现基于节点坐标变化的网格的重新划分(ABAQUS is used to modify the INP file to node-based grid coordinates of the re-classification change)

说明：   基本粒子群优化算法Matlab源程序 (Elementary particle swarm optimization algorithm Matlab source code)

wind platform based simulation

小波DWT变换，一般大家是用matlab实现，但是这段程序是用c语言编写。(wavelet dwt)

Hiroshi Harada s Communication System book codes

BP神经网络预测公路运量 1.问题的描述 公路运量主要包括公路的客运量和公路货运量两个方面。据研究，某地区的公路运量主要与该地区的人数、机动车数量和公路面积有关，表1给出了20年得公路运量相关数据，表中人数和公路客运量的单位为万人，机动车数量单位为万两，公路面积的单位为万平方千米，公路货运量单位为万吨。 根据有关部门数据，该地区2010年和2011年的人数分别为73.39和75.55万人，机动车数量分别为3.9635和4.0975万辆，公路面积将分别为0.9880和1.0268万平方米。请利用BP神经网络预测该地区2010年2011年得公路客运量和公路货运量。 (BP neural network to predict the road traffic (1) description of the problem of road traffic including road passenger and road freight volume two. According to research, an area of ​ ​ road traffic and the number of the region, the number of motor vehicles and road area, Table 1 shows the 20 years have to road traffic-related data, the table number and road passenger traffic units for people , million two units of the number of motor vehicles, road area in square kilometers, the highway freight volume was 10 000 tons. According to relevant data, the number of people of the region in 2010 and 2011 were 73.39 and 75.55 million, the number of motor vehicles were 3.9635 and 4.0975 million units, the road area were 0.9880 and 1.0268 million square meters. Please use the BP neural network in the region in 2011, 2010 have highway passenger volume and road cargo.)

分析了该信号的时域、频域、倒谱，循环谱等,包含CV、CA、Single、当前、恒转弯速率、转弯模型，考虑雨衰 阴影 和多径影响，能量熵的计算，用于特征降维，特征融合，相关分析等,是国外的成品模型。( Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. It contains CV, CA, Single, current, constant turn rate, turning model, Consider shadow rain attenuation and multipath effects Energy entropy calculation, For feature reduction, feature fusion, correlation analysis, Foreign model is finished.)

PDE for Matlab, I like it(PDE and ODE matlab book)