搜索资源列表
exercices
- 这是用prolog写的几个程序:程序1是一个旅行社关系系统,程序2是一个家族关系系统,程序3是一个成绩管理系统-This is prolog written several programs : a procedure is a travel agency relations systems, procedures 2 is a family relationship systems, procedures 3 is a performance management system
用sa进行光谱图像的特征提取的matlab程序
- 用sa进行光谱图像的特征提取的matlab程序,该算法比用其他方法在性能方面高%15-with spectral images of the Matlab feature extraction procedure, the algorithm than other methods in high-performance
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
scm-jmlr
- 一篇关于SCM的综述性文章,SCM是一种比SVM分类性能更优秀的分类器。以后还会上传几篇有关SCM的文章-on SCM's a review article, SCM than SVM is a better classification performance classifier. After a few will upload the articles SCM
FAMLY_GA
- 一种基于家庭进行选择的遗传算法VC++源程序,经测试其性能优于一般算法和自适应算法。-a family to choose the genetic algorithm source VC, After testing its performance is superior to the general algorithms and adaptive algorithm.
chap5_1
- 基于实数编码遗传算法的PID整定,采用误差绝对值积分性能指标作为参数选择的最小目标函数-real-coded genetic algorithm PID tuning, integral absolute error performance parameters as the minimum objective function
MLVQ
- LVQ算法( Learning Vector Quantization,学习矢量量化网络)是一种基于模型(神经网络)的方法,本实验要实现的是对LVQ改进的聚类方法——MLVQ(闫德勤等人提出)。该方法克服了LVQ算法对初值敏感的问题和广义学习矢量量化(GLVQ)网络算法性能不稳定的缺点。(附文章)-LVQ algorithm (Learning Vector Quantization. learning vector quantization network) is a model-based
BDAretrieval
- 使用BDA实现三维模型相关反馈的算法 注:1、使用本系统必须在本地计算机上安装matlab 2、算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 3、本系统自带性能评测机制-use 3D model relevance feedback algorithm Note : 1. Use of this system must be installed on the local computer Matlab 2, algorithm using 3D
KBDAretrieval
- 使用KernelBDA实现三维模型相关反馈的算法注:1、使用本系统必须在本地计算机上安装matlab 2、算法使用的三维模型特征向量是从PSB模型库中自动提取的DESIRE三维模型特征向量 3、本系统自带性能评测机制-KernelBDA use 3D model relevance feedback algorithm Note : 1. Use of this system must be installed on the local computer Matlab 2, algorit
pso_Methods_for_Pattern_Recognition_and_Image_Proc
- A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving th
svm_perf.tar
- New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate performance measures like F1-Score, ROC-Area, and the Precision/Recall Break-Even Point.
svm_v0.55beta
- 最新的支持向量机工具箱,有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, \"The Nature of Statistical Learning Theory\", Springer-Verl
fuzzy_pid
- 两种控制方式的性能比较:模糊控制与PID控制-two ways to control the performance comparison : fuzzy control and PID control
bp算法源程序
- 反向传播(back-propagation,BP)算法是一种计算单个权值变化引起网络性能变化值的较为简单的方法。由于BP算法过程包含从输出节点开始,反向地向第一隐含层(即最接近输入层的隐含层)传播由总误差引起的权值修正,所以称为\"反向传播\"。-BP (back-propagation BP) algorithm is a calculation of the weights of individual changes in network performance changes in the
量化粒子演算法
- The attach file is about pso. But, it can get better performance than others.
mRMRFeatureSelection
- mRMR_0.9_compiled最小冗余和最大相关特征选取源代码,-This package is the mRMR (minimum-redundancy maximum-relevancy) feature selection method, whose better performance over the conventional top-ranking method has been demonstrated on a number of data sets in recent pu
minipar-0.5-Windows
- 基于依赖的英文词法分析器, 能分出词的此性,句子单词的关系-The program is provided "as is" without warranty of any kind, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The
LEACH_ED1
- 对经典LEACH算法阈值公式加以改进,使得整体性能大幅度提升-LEACH algorithm threshold of classical formulas to improve, making the overall performance improved significantly
A-Performance-Perspective
- 数据挖掘中的举个中澳算法,分类,聚类,bayesian等。-A Performance Perspective of data mining.Give a full instruction of some key algorithm.
improve-performance-of-classifie
- SVM神经网络中的参数优化---提升分类器性能-SVM neural network parameters optimization, improve the performance of the classifier
