资源列表
R-FCN
- R-FCN全卷积网络的目标检测神经网络，算法性能优于Faster R-CNN(R-FCN is an full convultional network, the performance of R-FCN outperform the Faster R-CNN)
焊接ansys模拟程序相关
- 运用ansys软件来模拟焊接过程中的温度场和流场的APDL程序，以及相关焊接热源函数。(ANSYS simulation of flow field in welding temperature field)
JGibbLDA-v.1.0
- JGibbLDA-v.1.0.zip是java版的LDA实现，可以完美实现LDA，仅供学习参考(LDA implementation of Java Edition)
BP神经网络
- 第一个m文件：构造、训练BP神经网络并计算其识别率；第二个文件将进行人脸检测。注意：orl人脸数据库需要在网上下载。(The function of the first m file is to construct and train the BP neural network and calculate its recognition rate. The second is the detection of face. Note: the ORL face database needs to
EMD_hilbert谱
- emd分解之后再进行希尔伯特变换，获得能量谱(After EMD decomposition, Hilbert transform is used to obtain the energy spectrum.)
Amorphous
- 无线传感器网络节点定位算法之Amorphous(Node localization algorithm in wireless sensor networks Amorphous)
Factor_Models
- 动态因子模型，该模型可以有效对高维数据进行降维，将成百上千的数据信息浓缩在几个因子里面，即从一国许多经济时间序列数据中估计和解释驱动各变量波动的共同动态因子。 MATLAB代码(dynamic factor model, the model can be effective for high-dimensional data dimension reduction, condensed the hundreds of thousands of data in several factors,
基于粒子群算法的多目标搜索算法
- 基于粒子群算法的多目标搜索算法，优化算法(Multiobjective search algorithm based on particle swarm optimization (PSO) algorithm)
机器人独立PD控制
- 机器人独立pd控制，供新手学习使用，相关说明可在网上查看资料(Robot independent PD control, for beginners to learn to use, the relevant instructions can be viewed online.)
给出降水量计算干旱时长、烈度、开始年月
- 修改的drosta2（给出降水量计算干旱时长、烈度、开始年月），原上传者原晨阳，原文件中无p_m方程，无法使用，加入并加入导出数据方程.(Revised drosta2(a package could give drought-length, strngth, and start month/yeat based on giiven monthly mean precipitation). This is revised based on the package uploaded by Yuan
matlab-spatial analysis
- 本文给出了如何使用matlab进行空间计量分析，包括空间自回归检验、空间滞后模型、空间误差模型和空间杜宾模型的选择及检验结果，选择模型通过计算LM值、Wald检验和LR检验，同时可以通过LR检验选择模型类别（时间固定、空间固定及时空双固定）(This paper presents how to use matlab to carry out spatial econometric analysis, including spatial autoregressive test, spatial l
方程求根
- 包含了牛顿迭代法解非线性方程以及非线性方程组求解，多项式求根的MATLAB的M文件(Newton's iterative method is used to solve nonlinear equations and solve nonlinear equations. The M of MATLAB is the root of polynomial.)