- Ex24 a malbrt gamea ma lbrt gamea ma lbrt gamea ma lbrt gamea ma lbrt gamea ma lbrt gamea ma lbrt gamea ma lbrt gamea ma lbrt gamea ma lbrt gamea ma lbrt gamea ma lbrt gamea ma lbrt game
- HistogramCtrl_demo VC++ 6.0
- 3DReconstruction 基于二维照片的体素法三维重建程序
- HomeworkSharp2 p tile method for image segment
- mocapPlayer 使用OpenGL对运动捕获文件ASF/AMC文件进行解析
- BLDC 无数直流电机无位置传感器速度控制
资源列表
s4
- 基于遗传算法的作业排序方法 利用梯度下降法求解线性判别函数-Job sorting method based on genetic algorithm using the gradient descent method for solving linear discriminant function
c4.5matlab
- 本文件包含了数据挖掘中c4.5算法的源程序代码。-This file contains the source code for data mining in c4.5 algorithm.
rough-set-reduct-and-get-rules-code
- 粗糙集的约简源码以及规则获取matlab 源代码，由老师编写，值得试用-Source code as well as the rules of the rough set reduction for matlab source code, prepared by the teacher, it is worth the trial
ORB_Test
- 基于opencv的 orb特征点匹配的算法实例 比sift suft快很多-Opencv orb feature points matching algorithm instance is much faster than sift suft
vbSQL
- Check relation betwean goods from minimarket using apriori algorithm in visual basic
myBPnet
- 很好的BP神经网络预测程序 包含数据归一化，网络训练和仿真，以及预测-BP neural network program contains data normalization, network training and simulation, and forecasting
AnimalsRecognition(JAVA)
- 动物识别系统实验 1.基于规则产生式系统结构： 基于规则的产生式系统一般由规则库（知识库）、综合数据库和推理引擎（推理机）三部分组成，规则库中它的基本组成框架如下图1所示。 知识库由谓词演算事实和有关讨论主题的规则构成，综合库又称为上下文，用来暂时存储推理过程中的结论和数据。推理机是用规则进行推理的过程和行为。知识采集系统是领域专家把相关领域的知识表示成一定的形式，并输入到知识库中。解释系统通过用户输入的条件来分析被系统执行的推理结构，并将专家知识以易理解的方式并把知识解释给用户。 2. 简单动
hrRK
- H-R生物神经元模型用四阶龙格库塔方法求解-HR biological neuron model with fourth-order Runge-Kutta method for solving
successful-program
- 蚁群算法优化BP神经网络，已运行，良好，简单-Ant colony algorithm to optimize BP neural network has been running good, simple
12356-
- 对于初学者很有帮助，程序我都运算过了，尺度熵，直接可以拿来用-very good
RandomForest
- ID3决策树+随机森林算法生成决策森林，采用投票机制进行决策；有训练数据aaa和测试数据bbb；非常适合机器学习的初学者-The ID3 the+ random forest algorithm to generate decision forests voting mechanism for decision-making training data the the aaa and test data bbb ideal for machine learning beginners
SKohonen
- 有监督SOM网络，克服了无监督SOM聚类不准确的问题-The supervised SOM network, to overcome the unsupervised SOM clustering inaccurate