资源列表
min-char-rnn-master
- 循环神经网络RNN 实现字符串预测 本教程将以字符预测为例，说明如何利用RNN预测基于当前输入和隐藏状态的下一个字符。(Use recurrent neural network RNN to implement string prediction. This tutorial will use character prediction as example to show how to use RNN to predict next character based on current in
ga-bp
- 一个遗传算法优化神经网络的分类器，可用于模式识别。(A genetic algorithm optimizes the classifier of neural network, which can be used for pattern recognition.)
dqn
- 简单程序，很能说明DQN的运行方式，通过深度网络和Qlearning的结合，训练使得最后小球能移动到最左边(Simple procedures, it can explain the way of DQN, through the combination of deep network and Qlearning, so that the last ball can move to the left.)
golf
- nao机器人高尔夫比赛第一关，包含了红球识别相关代码(The first hurdle of the NAO robot golf competition includes the red ball recognition code.)
波束空间MUSIC算法源程序
- DOA估计， 波数域，DOA 估计，阵列信号处理，经典算法(DOA estimation, DOA estimation DOA, estimation DOA, estimation, array signal processing. Beamforing)
Geolife Data 1.3
- Geolife GPS 轨迹数据集–用户指南 这一 GPS 轨迹数据集是在 (微软研究亚洲) Geolife 项目中收集的, 178 用户在四年 (2007年4月至 2011年10月) 期间。该数据集的 GPS 轨迹由一个时间戳点序列表示, 每一个都包含纬度、经度和高度信息。该数据集包含17621个轨迹, 总距离为1251654公里, 总持续时间为48203小时。该轨迹数据集可以应用于移动模式挖掘、用户活动识别、基于位置的社交网络、位置隐私和位置推荐等多个研究领域。(Geolife GPS t
n 人有限非合作博弈计算一个纳什均衡
- n 人有限非合作博弈计算一个纳什均衡 N human finite non cooperative game for computing a Nash equilibrium(N human finite non cooperative game for computing a Nash equilibrium)
MvDA
- 这是关于图像处理的MVDN算法，多视图线性判别分析(This is the image processing MVDN algorithm, multi-view linear discriminant analysis)
tsp_ga
- GUI界面全程显示迭代求取过程，改进遗传算法求解TSP问题(GUI interface to display the entire strike iterative process, improved genetic algorithm for TSP)
IMM6
- 一种基于扩展的增量流形学习算法IMM-ISOMAP matlab源代码，数据也包含在里面了 (An incremental manifold learning algorithm based on IMM-ISOMAP matlab source code, the data is also included in the)
opnet仿真实例（5个）OPNET BOOK CODE
- opnet仿真的几个例子，里面有详细的功能介绍和流程(OPNET simulation of several examples, which have detailed functional introduction and process.)
13898405hvdc-simulink
- 主要用于电力系统的改善，电能质量，波形的改善，抑制电力系统的振荡，直流输电(It is mainly used for power system improvement, power quality, waveform improvement, and suppression of power system oscillation.)