粒子群和模拟退火算法

【实例简介】

说明：  一种无监督的聚类算法，基于密度聚类，名称为基于快速搜索与寻找密度峰值的聚类(Clustering by fast search and find of desity peaks)

说明：  了解基本编程知识，熟悉编程算法，字数统计。(Understand basic programming knowledge, familiar with programming algorithms, word count.)

可以把论文从英文翻译到中文，方便论文的阅读(Translate a English paper to Chinese.)

说明：  基于LSTM的时间序列预测-原理-python代码(Prediction of time series based on LSTM - principles -python code)

说明：  kmeans/dbscan/agnes...算法简单实现(Simple implementation of the algorithm)

说明：  详细的解释 无bug 可读性较高 手把手教学 代码全实现(Deep Learning Algorithms and Examples for One-Dimensional Signals)

说明：  用python写的计算器程序，功能相当齐全，不仅限于加减乘除。结构简单清晰，适合初学者学习。(The calculator program written in Python has quite complete functions, not limited to addition, subtraction, multiplication and division. The structure is simple and clear, suitable for beginners to learn.)

说明：  使用LSTM预测交通流，并与其它算法进行比较，里面包含详细程序，第一部分(LSTM is used to predict traffic flow and compared with other algorithms, which contains detailed procedures.)

Python Design Pattern