资源列表
Machine learning
- 提供监控场景下多张带有标注信息的行人图像，可定位（头部、上身、下身、脚、帽子、包）的基础上研究行人精细化识别算法，自动识别出行人图像中行人的属性特征。(It provides a number of pedestrian images with tagged information under the monitoring scene, and can study the pedestrian refinement recognition algorithm based on the locat
DE Algorithm
- DE算法，求最优解，能实现，能运行，是个测试版本，可以在这基础改(Genetic algorithm, the best solution, can be realized, can run, is a test version, can be modified in this basis.)
CMAC逼近非线性函数
- 利用小脑模型神经网络逼近非线性函数，MATLAB编写m文件实现，给出逼近误差(Cerebellar model neural network is used to approximate nonlinear functions. MATLAB is used to write M files, and approximation error is given.)
vnary
- 新安江模型洪水计算程序,Fortran语言开发,()
wine
- 红酒数据集，包括了178种红酒种类，以及各类红酒参数(wine data set, including 178 kinds of red wine, as well as various types of red wine parameters)
tvnpv
- 用于特征降维，特征融合，相关分析等,包括AHP，因子分析，回归分析，聚类分析，粒子图像分割及匹配均为自行编制的子例程。( For feature reduction, feature fusion, correlation analysis, Including AHP, factor analysis, regression analysis, cluster analysis, Particle image segmentation and matching subroutines them
RNN语音识别
- 基于深度学习平台tensorflow，利用RNN网络进行语音识别实例代码，希望对大家有帮助(Based on the deep learning platform tensorflow, the RNN network is used to carry out the speech recognition instance code, hoping to be helpful to everyone)
模拟退火算法
- 使用模拟退火算法对Bp神经网络进行改进，效果比较明显(Using simulated annealing algorithm to improve the Bp neural network, the effect is obvious.)
迁移学习对花进行分类
- 迁移学习简单算法，涉及到迁移学习的一些简单原理，学习参考使用(transfer_learning.py)
CAE
- 卷积自编码器，深度学习中的CAE，类似CNN，是深度学习的基本框架之一(Convolution self encoder, CAE in depth learning, similar to CNN, is one of the basic frameworks for deep learning.)
matlab Q学习仿真
- 基于Q学习算法，寻找最优路径，是强化学习中的一种，很实用，代码很详细，有备注(Searching for the optimal path based on Q algorithm is a kind of reinforcement learning. It is very practical, the code is very detailed, with notes.)
MPGA
- 多种群遗传算法; matlab程序(Multiple Populations GA)