搜索资源列表
S200502106_SVM_for_classfication
- SVM用于模式识别 整理别人的代码（原来的是英文）所得： kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matla
MGA
- 这是一个基于多智能体的遗传算法，算法中以一个30维Rastrigin的函数（该函数有无数个局部积小点一个最小点）为例进行了演示——连续独立运行五十次，每次的解小于1e-4，使用了matcom45和C++的混合编程,请先下载后使用程序-This is a Multi-agent-based genetic algorithm with a 30-dimensional Rastrigin function (the function has numerous local small plot po
pcaldacuchaojimohushibie
- 基于pcb和lda粗糙积得模式识别的MATLAB的程序-Based on the pcb, and lda rough plot of the MATLAB program was pattern recognition
GA
- 一个遗传算法求方程根的程序，其结果可以直接导入ORIGIN软件成图。-A program using genetic algorithm to solve the equation, the results can be directly imported into ORIGIN to plot a figure.
demmlp1_2
- Multi layer perceptron regression plot.
Matlab
- matlab作图函数集锦（42个例程加PPT讲解）-matlab plot function Collection (42 routines plus PPT to explain)
zjf_m
- 本程序用语画有时滞的分数阶混沌系统,程序简单使用.-This code is applicable to plot delayed fraction-order chaotic system. The code is simple but practical.
meanMina
- MeanShift clustering Code with sample data and plot results
PLOT
- matlab散点图上每一点标号的代码，对神经网络训练数据的剔除简单有效的处理-matlab (Scatter) on the every point the code of a label is, the INFLUENCE OF DELETING DATA on the the neural network training simple and effective processing
plot-number-train
- 一种给散点图加标号的方法，可以方便剔除神经网络不合格的训练数据-For method a scattergram numeral removing substandard neural network training data, can be easily
PSO
- 粒子群法求最优值，模型是一个小区的供电系统，欢迎大家来下载。-PSO method for the optimal value, the model is a plot of the power supply system, welcomed everyone to download.
12
- its all about the how plota nad explain the bode plot using matlab
Apriori
- Apriori算法C++实现，Apriori算法是一种挖掘关联规则的频繁项集算法，其核心思想是通过候选集生成和情节的向下封闭检测两个阶段来挖掘频繁项集-Apriori algorithm C++ realize, Apriori algorithm is an association rule mining frequent itemsets algorithm, the core idea is the frequent item sets through a two-stage closed
car_pole_system_upload_ver
- Reinforcement Learning 中以 Q learning 學習的倒單擺實驗。以x,x_dot,theta,theta_dot作為狀態參數 state，利用model模擬之結果做Q值更新，產生Q table，對學習平衡控制。結果以csv檔作為輸出，可以由使用者作圖觀察變化。-Reinforcement Learning , utilize Q learning for An inverted pendulum system control。x,x_dot,theta,theta_d
Apriorisrc
- Apriori算法是一种挖掘关联规则的频繁项集算法，其核心思想是通过候选集生成和情节的向下封闭检测两个阶段来挖掘频繁项集。而且算法已经被广泛的应用到商业、网络安全等各个领域。-Apriori algorithm is an association rule mining frequent itemsets algorithm, the core idea is to dig down through the closed itemsets candidate sets generated in
apriori_java
- Apriori算法[1]是一种最有影响的挖掘布尔关联规则频繁项集的算法。其核心是基于两阶段频集思想的递推算法。该关联规则在分类上属于单维、单层、布尔关联规则。在这里，所有支持度大于最小支持度的项集称为频繁项集，简称频集。-Apriori algorithm [1] is one of the most influential association rule mining algorithm Boolean frequent item sets. Its core is based on a t
opencv_bp
- 此程序用于准确的图像边缘检测，已经调好，可出图-This program is used for accurate edge detection, has been tuned, you can plot
Linear-regression
- 对散点图进行N次拟合，使估计更加准确，比如根据房屋面积估算房价-Fill the scatter plot to make the estimate more accurate
Class_3_Code
- 将concrete_data.mat文件导入到MATLAB中，其中attributes为影响混凝土抗压强度的7个输入变量，strength为混凝土的抗压强度，即输出变量； 将整个数据集中的103个样本随机划分为训练集与测试集，其中训练集包含80个样本，测试集包含23个样本； 将训练集与测试集数据进行归一化； 建立BP神经网络，并训练； 利用训练好的BP神经网络对测试集中的23个样本的抗压强度进行预测； 输出结果并绘图（真实值与预测值对比图）(The concrete_data.mat
plot
- Matlab code for plot