资源列表
脑电数据PCA处理及SVM分类
- 脑电eeg数据预处理，用于脑电信号的MATLAB处理程序，输入处理数据，进行matlab运算，PCA处理及SVM分类。(PCA Processing and SVM Classification of EEG Data)
SLAM
- 以slam为核心的python实现代码，包含可视化组件(some slam code with the python scr ipt)
VRP算法
- 压缩包里放的是解决车辆路径问题的各种算法，提供给大家参考学习。
MSGAN
- 解决条件GAN中的模式崩溃问题，改善图像生成的多样性。(To solve the problem of mode breakdown in conditional antagonism generation network and improve the diversity of image generation)
教程2第1周编程作业完成版
- 对于深度学习一个简单的例子，对于学习有很大帮助，经过不断修改，查看自己的结果，并且不断学习(A simple example of in-depth learning is very helpful for learning. After constant modification, you can see your own results and keep learning.)
AutoEncoder实战
- 深度学习中基于PyTorch架构的AutoEncoder 实例(Examples of AutoEncoder based on the PyTorch architecture in deep learning)
粒子群算法
- 用MATLAB编程 利用粒子群算法解决旅行商问题
强化学习
- 基础的强化学习Q-learning算法，对初学者对Q-learning算法得理解比较有帮助，程序包括运行脚本，Q-learning算法脚本以及环境脚本。(Basic reinforcement learning Q-learning algorithm is helpful for beginners to understand Q-learning algorithm. Programs include running scr ipt, Q-learning algorithm scr ipt
time-series-forecasting-keras-master
- 基于ARIMA模型和LSTM模型，提出一种高性能得时间序列预测算法(Based on ARIMA model and LSTM model, a high performance time series prediction algorithm is proposed.)
鸢尾花
- 封装KNN算法，了解IRIS数据集 分类鸢尾花数据集(Encapsulation of KNN algorithm to understand IRIS dataset classification iris dataset)
AcousticChannelSimulator
- 计算海洋声学 深海声道模型 射线声学方法(Computational ocean acoustic deep-sea channel model)
基于神经网络的车牌识别
- 基于神经网络的车牌识别，在原有基础上增多了训练集，提高了识别的准确度(Vehicle license plate recognition based on neural network increases the training set and improves the accuracy of recognition.)