搜索资源列表
压力测试程序
- StressMark测试软件是一个使用Visual C++编写的,开放源代码的测试工具,可以完成服务程序及重要算法的功能和性能测试,其最主要的功能是模拟多线程或多客户端的自动化压力测试。-StressMark test software is a prepared using Visual C, the open-source testing tools, procedures and services to complete the important functions of the alg
SPSOOptimize
- 微粒群算法,c语言编写,通过优化,可以自己添加测试函数-particle swarm algorithm, c language, through optimization, can add their own function testing
DS
- DS证据理论中的合成规则的算法实现;该算法对两个基本可信度分配(BPA)的合成规则进行实现,算法包含在DS.h文件中,main.c文件对其进行调用,并对简单示例进行测试。-DS evidence theory in the synthesis of the rules of algorithm the algorithm two basic probability assignment (BPA) to achieve the synthesis rules, the algorithm is
BP_exe
- 经典的bp神经网络源码,c语言实现。均采用经典函数进行测试。-Classic bp neural network source code, c language. Classic functions are used for testing.
PSOS_exe
- 粒子群优化算法,采用c语言实现,测试均采用经典函数。-Particle swarm optimization algorithm, using c language implementation, testing, adopt the classic function.
V_Win
- 一套基于C#开发的神经网络测试大气环境分析系统-C#-based development of a neural network analysis system for testing the atmospheric environment
mlp-new.cpp
- 多层前馈神经网络学习算法训练与测试才c++代码-Multilayer feedforward neural network learning algorithm training and testing before c++ code
ACO
- 求解TSP问题的蚂蚁算法,利用TSPLIB上的测试用例做测试。用C语言实现。有注释。-Ant algorithm for solving TSP problems, the use of the test cases for testing TSPLIB. With the C language. Annotated.
feature-selection-svm
- 特征选择算法,效果很好。可以解决维数高、训练样本数少的问题。-include both C version (mex-function) and Matlab version: SBSVM_c.cc SBSVM_m.m A testing case is also provided in file Speed_Comp.m
smo_p
- svm支持向量机的SMO算法C++实现,带测试数据可以直接进行测试-SMO algorithm of support vector machine with the test data c++ realization, can be directly for testing
KNN
- 模式识别大作业K近邻算法(KNN)C++实现,内有iris和wine数据测试以及其他相关资料。-, Pattern Recognition large job K nearest neighbor algorithm (KNN) C++ achieved within the iris and wine data testing and other relevant information.
BpNeuralNetwork
- 用c语言实现了bp神经网络,并进行了测试,使用训练好的神经网络进行加法运算。-Bp neural network using the c language testing, the use of trained neural network to perform addition.
0-svnn
- 这段代码实现了一个新的MLP神经网络训练方法,来自论文A new method for neural network regularization(内附)-This code implements a new training method for MLP neural networks, named Support Vector Neural Network (SVNN), proposed in the work: O. Ludwig “Study on Non-parametric Me
matlab代码
- Matlab代码,根据算法原理自己编写的基本算法的代码,有:KNN,层次聚类,C均值,最邻近算法。包括自己挑选的数据集,对算法准确率的测试。(Matlab code, the code of the basic algorithm written by itself according to the algorithm principle, there are: KNN, hierarchical clustering, C-means, nearest neighbor algorithm.
