感知器算法

从数据库获取车辆在一段时间内的所有行驶记录的相关数据，确定所需数据为GPS经纬度坐标和驾驶时长等，QB模型采用MDF的思想,其基本思想为:通过平均直接翻转距离函数定义两条轨迹之间的距离，两条轨迹需要具有相同的经纬度点数，具有相同点数的轨迹最大的优点是对轨迹距离成对计算，且相同轨迹之间具有更高的分辨率，对于轨迹聚类的结果有一定的优化。(Retrieved from the database cars all over a period of time, record the related data, determine the required data for the GPS latitude and longitude coordinates, and the driving time, QB model by adopting the idea of MDF, its basic idea is: flip directly by the average distance function definition of the distance between two trajectories, two tracks will have the same latitude and longitude points, and has the biggest advantages of the same points of trajectory track distance calculation in pairs, and has higher resolution, between the same trajectory for trajectory clustering results have certain optimization.)

说明：  神经网络与深度学习案列代码，神经网络与深度学习教程例题代码(Neural Network and Deep Learning Case Code, Neural Network and Deep Learning Course Case Code)

building Machine Learing Systems with Python 源代码 。 中文名是：机器学习系统设计； 作者：Willi Richert Luis Pedro Coelho 刘峰。(building Machine Learing Systems with Python source code)

说明：  Python 基础教程 (莫烦 Python 教程)(Python Basic Tutorial)

说明：  intesim建模脚本，详细介绍共享拓扑网格划分流程。(intesim software modeling script)

说明：  与经典的方法相比，使用具有长时间记忆细胞的递归神经网络(RNN)不需要或几乎不需要特征工程。数据可以直接输入到神经网络中，神经网络就像一个黑匣子，可以正确地对问题进行建模。其他研究在活动识别数据集上可以使用大量的特征工程，这是一种与经典数据科学技术相结合的信号处理方法。这里的方法在数据预处理的数量方面非常简单(Compared with the classical methods, the recursive neural network (RNN) with long-term memory cells does not need or almost need feature engineering. Data can be directly input into the neural network, which acts as a black box and can correctly model the problem. Other research can use a lot of Feature Engineering on activity recognition data sets, which is a signal processing method combined with classical data science and technology. The method here is very simple in terms of the number of data preprocessing)

说明：  对连续数据进行SVR回归建模，并对参数寻优(SVR regression modeling for continuous data and parameter optimization)

说明：  python机器学习经典实例，python自然语言处理，中文版，含代码(Classical examples of Python machine learning)

卷积网络架构-LeNet-5

一个简单的爬虫，刚开始学习，才疏学浅。爬单页面的图片(A simple crawler, just beginning to learn, have little talent and less learning. A picture of a single page)