资源列表
Intelligent-Optimization
- 基于蚁群算法进行路径规划，原创，可以自己设置路径测试-Ant colony algorithm for path planning, original, you can set up their own path testing
gatsp
- 用遗传算法解决Tsp问题，这是一个老问题了，自己写的程序，按照自己的思路来的，效果还行，GUI界面-Tsp using genetic algorithms to solve the problem, this is an old question, write their own programs, according to their own ideas, and the results were OK, GUI interface
test
- 以c++和opencv为工具，通过摄像头捕捉到肤色区域，并跟踪，实现手势识别-In c++ and opencv as a tool, through the camera to capture color region and tracking, gesture recognition
sparsePCA
- 稀疏主成分分析算法，用于特征提取，维数约简。-Sparse Principle Component Analysis for feature extraction
SVM-matlab
- svm的各种经典的程序，用于对数据、图像进行分类，回归。其中，既包含分两类的程序，也包括分多类的程序，以及svm改进算法的程序。-svm various classic procedures for data, image classification, regression. Which contains both the two types of procedures, including many types of procedures and svm algorithm procedur
intelligent-pattern-recognition-ppt
- 自动化学院模式识别课件，SVM算法，几何分类器专题，智能模式识别-Courseware automation institute of pattern recognition, the SVM algorithm, geometrical classifier project, intelligent pattern recognition
NSGA
- NSGA算法，国际非常优秀的算法，可以下载去学习学习。-NSGA algorithm, very good international algorithms can download to learn from him.
Dc91
- 适合MT4平台，周内的中短线智能交易，欧美，磅美为主，具体自己下载后测试-Suitable MT4 platform, intelligent trading weeks in the short-term, Europe, pounds US-based, specific test their download
invest_system
- 适合MT4平台，短线智能交易，欧美美瑞美加磅美为主，具体自己下载后测试-Suitable MT4 platform, intelligent trading short-term, Europe and the United States dominated Camry Canada pounds, after downloading their own specific test
chapter28
- 基于灰色神经网络的预测算法研究-订单需求预测-Based on gray neural network prediction algorithm- order demand forecast
eg18-yucemoxingyanjiu
- 《MATLAB神经网络30个案例分析》中的第18个例子，案例18 Elman神经网络的数据预测—电力负荷预测模型研究。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 18 cases of 18 Elman neural network research data to predict- power load forecasting model. Hope to have certain help t
PSORBF
- 采用粒子群优化算法优化RBF神经网络的参数-Using particle swarm optimization algorithm to optimize the parameters of RBF neural network