资源列表
Segmentation_Astar
- 这是一个基于A*算法的路径规划程序，利用栅格法构建了房间地图，然后通过A*算法规划出一条从出发点到目标点的最短路径。-This is based on A* algorithm path planning process, build the room use map grid method, and then through the A* algorithm plan a starting point the shortest path to the target point.
deeplearning
- 一个深度学习的python例程，该程序可以通过学习大量手写数字的数据提取出各手写数字的特征并对其进行识别。本文件中包含运行的主程序和结果，以及运行程序所需要的python库。- A depth learning python routines, the program can learn a lot of handwritten digital data extracted handwritten digits of each feature and gain recognition. Th
Constrained-optimization-GA
- 人个收集的带约束优化问题的遗传算法，都是十分有用和极具参考价值的资料。-A collection of people with constrained optimization problems genetic algorithms, are very useful and very valuable information.
PaiKe-GA
- 收集的基于遗传算法排课系统的全部资料，有文献、有程序，可相互参考对照学习和理解。-All data based on genetic algorithm Course Scheduling system collected the literature, there are procedures, mutual reference to learning and understanding.
openticks
- 智能交易EA，根据K线的走势追踪趋势，没有其他指标，带止损止盈-EA EA, in accordance with the trend of K-line trend tracking, no other indicators, with a stop loss and profit
Bacterial-Foraging-Computer-Program
- 细菌觅食MATLAB算法，可以直接运行，推荐推荐-Bacterial foraging MATLAB algorithms can be run directly, recommended recommended
RBF
- 运用RBF神经网络进行人脸识别的小程序，效果还不错-face detection by RBF
kuanjia
- 粒子群算法程序，能够求解方程组，求解最优化问题-Particle swarm optimization program that can solve the equations, solving optimization problems
Learning-to-Detect-a-Salient-Object
- Learning to Detect a Salient Object 文章的代码实现-Learning to Detect a Salient Object code article
swt-mex
- 笔画宽度变换的matlab与c++混合实现-Stroke width transform matlab realize mixed with c++
zuobiaobianhuan
- 这个程序主要是把二维翼型坐标变换成三维翼型坐标，通过翼型位置-弦长-扭角等参数得到三维翼型坐标，完成后面的三维建模-This program is mainly two-dimensional airfoil coordinate into the three-dimensional coordinates of the airfoil, the airfoil by position- to give the three-dimensional coordinates of the airfo
0-svnn
- 这段代码实现了一个新的MLP神经网络训练方法,来自论文A new method for neural network regularization（内附）-This code implements a new training method for MLP neural networks, named Support Vector Neural Network (SVNN), proposed in the work: O. Ludwig “Study on Non-parametric Me