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