资源列表
无线信道建模 opnet
- 基于opnet 的 无线信道建模，搭建无线系统模型的整个过程
AP-deployment
- 关于WiFi AP部署的详细仿真，包含了各种随机数生产，以及各种模型的maltab仿真。并采用基因算法进行实现。-The WiFi AP deployment simulation, contains a variety of random number production, as well as various models maltab simulation. And use of genetic algorithms to achieve.
NNGPc
- 相当好的，很值得学习matlab控制程序实现非线性控制 -Quite good, it is worth learning matlab control procedures to achieve nonlinear control
AI_Roboform_7.7.9.9
- 网页自动填表，批量填表，网页自动登录-Page automatically fill in a form, bulk filling, web pages automatically log,
genetic-algorithm
- Rosenbrock函数的全局最大值,使用遗传算法计算。f(x1,x2) = 100 (x12-x2)2 + (1-x1)2； -2.048 ≤ xi ≤ 2.048 (xi=1,2)。 该函数有两个局部极大点，分别是:f(2.048, -2048)=3897.7342和f(-2.048,-2.0048)=3905.9262其中后者为全局最大点。 -Rosenbrock function global maximum, calculated using a genetic algo
30-cases-in-matlab
- MATLAB智能算法30个案例分析，109页的详细讲解，程序和程序注解，可以直接复制代码。包括遗传算法，基于遗传算法和非线性规划的函数寻优算法，遗传算法工具箱详解及应用，多种群遗传算法的函数优化算法， 基于粒子群算法的多目标搜索算法，基于多层编码遗传算法的车间调度算法，基于遗传模拟退火算法的聚类算法，蚁群算法，支持向量机等等30章。-MATLAB intelligent algorithm 30 case studies, 109 detailed explanations, procedur
Deep Learn Toolbox-master
- Geoffrey E. Hinton 深度学习资料-Geoffrey E. Hinton Deep Learning code
svm--matlab
- matlab智能算法30个案例分析源码之--支持向量机的分类--基于乳腺组织电抗阻性的乳腺癌诊断 包括原始数据和SVM分类代码 是学习支持向量机的好的案例-matlab intelligent algorithm analysis of 30 cases source code- support vector machine classification- based on the electrical resistance of breast cancer diagnosis in bre
ShortText_Similarity
- 改程序实现了短文本相似度计算，在信息检索等领域都有广泛的用途，用python实现-Reform program to achieve a short text similarity calculation, has a wide range of applications in areas such as information retrieval, implemented in python
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