资源列表
svmtrain
- matlab系统原来自带的svmtrain函数和svmclassify函数。 有需要的在2017a以前的版本里面也能找到！ 在新版本中（2018以后），你再运行有svmtrain函数的文件，我试了一下结果是，就算你拷贝过来原来的svmtrain函数，还是运行不出来。。所以各位可以下载试一下。。我建议还是转为最新支持的fitcsvm函数吧！(svmtrain and svmclassify function)
雷达辐射源在线分选程序
- 基于核聚类的雷达信号在线分选程序，比较经典(On-line Radar Signal Sorting Procedure Based on Kernel Clustering)
som
- 随机产生5类二维坐标系中的数，使用SOM网络进行无监督聚类，将产生的随机数自动聚成五类，并将结果用图像直接显示出来，生成训练好的网络权值(Five kinds of random numbers in two-dimensional coordinate system are generated randomly, and unsupervised clustering is carried out using SOM network. The random numbers generated
CNN
- 这是一个为1D心电图数据训练而设计的神经网络。(this is a Covoluntional Neural Network deisigned for 1D ECG data training.)
Matlab code for multi-agent control
- 多智能体的编队控制，适合多智能体的编队或一致性研究的初学者学习(Multi-Agent Formation Control, Suitable for Initial Scholars of Multi-Agent Formation or Consistency Research)
统计学习方法-电子书及代码实现-李航
- 统计学习书籍和代码，非常非常好的资料，你可以下载的学习。(Machine learning actual supporting code, very very good information, you can download the learning.)
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.)
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)
stock_predict_with_LSTM-master
- 深度学习，LSTM股票预测，python代码(Deep Learning, LSTM Stock Forecasting, Pthon Code)
滑模广义预测
- 本程序讲述的是广义预测控制结合滑模设计的滑模预测控制器
85190844wedgelet
- 小波等神经网络,还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。(wavelet neural networks, etc. also contains the PSO (PSO), gray neural networks, fuzzy networks, probabilistic neural networks, genetic algorithm optimization and so on.)