资源列表
Desktop
- 隐马尔科夫模型的python测试代码及优化算法代码(Hidden Markov model of the python test code and optimization algorithm code)
tensorflow_simple_neuNetwork
- 基于tensorflow的简单神经网络代码实现(Implementation of simple neural network code based on tensorflow)
aramss
- 利用ARIMA算法对输入序列进行预测（源码是对价格进行预测，可类推）。(ARIMA algorithm is used to predict the input sequence.)
Deep_MNIST_for_Expert
- 利用深度学习进行数字分类,分类的正确率非常高。(Using deep learning method to classify digit numbers)
archive (3)
- natural systems on python with output
sql-ann
- 将数据从mssql中调用出来，并使用到python中，进行人工神经网络的计算(Simple neural network model and sql call)
kmeans
- 可以直接拿来用 python2.7 在数据挖掘中，K-Means算法是一种 cluster analysis 的算法，其主要是来计算数据聚集的算法，主要通过不断地取离种子点最近均值的算法。(In the data mining, K-Means algorithm is a cluster analysis algorithm, which is mainly to calculate the data aggregation algorithm, mainly through the con
knnimplementation
- 自己编写的KNN算法，不用工具包就可实现。kNN算法的核心思想是如果一个样本在特征空间中的k个最相邻的样本中的大多数属于某一个类别，则该样本也属于这个类别，并具有这个类别上样本的特性.(The core idea of the kNN algorithm is that if the majority of the k most neighboring samples of a sample in the feature space belong to a particular category
allan_ygm
- 用于对imu数据进行allan方差分析。(allan variance analysis)
SVMcgForClass.m
- 二分类，参数寻优 matlab 支持向量机(Two classification)
repetative
- 用于迭代学习的基础教程，可以很快的进入迭代学习的阵营(The basic tutorial for iterative learning, you can quickly enter the camp of iterative learning)
混沌操作法
- 外汇的智能交易ea，是以混沌理论为基础的(EA, the intelligent trading of foreign exchange, is based on the theory of chaos)