资源列表
4.基于MATLAB的神经网络在股市预测中的应用
- 基于MATLAB实现的BP神经网络在股票预测中的应用研究(Application of BP neural network based on MATLAB in stock prediction)
Q-Learning-in-Python-master
- 使用python简单实现q-learning的功能(Simple implementation of q-learning function using python)
神经网络
- 人工神经网络原理及仿真实例及matlab源代码，一个完整的演示系统及其源代码，很强大，代码都是这本书的实例，很好(Artificial neural network theory and simulation examples and matlab source code, a complete demonstration of the system and its source code, very powerful, the code is an example of this book,
24940822CSP共空间模式(m_function)
- 用于将采集到的脑电信号进行特征提取，或者是用来滤波。(It is used to extract the electrical signals collected, or to filter them.)
智能算法应用
- 整理支持向量机、BP神经网络的基本原理，便于分类、预测问题的解决。(Sort out the basic principle of support vector machines, easy to classify and predict the solution of problems.)
ExemplarBasedInpainting
- Object_Removal_by_Exemplar-Based_Inpainting matlab version
2
- 基于SVM算法和纹理特征提取的遥感图像分类(based on the SVM algorithm and texture feature extraction of remote sensing image classification)
SS-US-ELM
- Classification, Regression
Social-Profile-master冷启动
- 推荐Netflix，亚马逊系统Spotify，例如，可以推荐我们基于我们的历史的新东西，行为和我们玩什么内容。但是当一个新用户到达没有数据的系统时会发生什么呢？我们向他推荐什么？这是冷启动问题。(Recommending systems like Netflix, Spotify, amazon, for instance, can recommend us new stuff based on our history, behavior and what content we play. Bu
network_learn
- 简单地实现全神经网络，适合深度学习的基础入门。(Simple implementation of the whole neural network, suitable for in-depth study of basic entry.)
lssvm
- 最小二乘支持向量机回归，四个插入数据分别为训练输入、训练输出、测试输入、测试输出。工具包+程序(Least squares support vector regression (SVM), the four inserted data are training input, training output, test input and test output)
TensorFlow实战_黄文坚（完整）
- 教会你如何通过Python语言实现TensorFlow框架，作为一个深度学习的初学者，想要接触TensorFlow框架的初学者，是非常好的学习资料。(Teach you how to implement TensorFlow framework through the Python language, depth of learning as a beginner, want to contact TensorFlow framework of beginners, is a very good