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LSTMPractice
说明： 利用jupyternotebook对LSTM网络仿真练习，实现一个LSTM+DNN结构的预测网络。主要使用的keras建模。tensorflow2.0(A prediction network of LSTM + DNN structure is realized by using jupyter notebook to simulate LSTM network. The main use of keras modeling. tensorflow2.0)
- 2020-07-04 02:20:02下载
- 积分：1
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CollaborationNetwork
构建了无向加权网，并对网络的度分布、集聚系数、最短路径、度匹配度、度中心性等重要参数进行了计算，在此基础上构建了社区挖掘算法用于网络的社区发现，并采用链路预测算法构建推荐系统(An undirected weighted network is constructed, and some important parameters, such as degree distribution, aggregation coefficient, shortest path, degree matching degree and degree centrality, are calculated. On this basis, a community discovery algorithm is built for the network, and a link prediction algorithm is used to construct a recommendation system.)
- 2018-05-15 09:12:54下载
- 积分：1
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python
说明： 适合初学者编程小程序，适合熟悉python基本使用，可重复性强(Suitable for beginners to program small programs, suitable for familiar with the basic use of python, strong repeatability)
- 2020-06-21 17:20:01下载
- 积分：1
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Univariate Moran Index
说明： Univariate Moran's I 指数计算过程脚本，运用ArcGIS自带的arcpy工具包(Univariate Moran's I calculation script using ArcPy tool in ArcGIS Desktop software)
- 2017-06-09 15:51:02下载
- 积分：1
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SVM_REGRESSION
这段时间自己在学机器学习相关的内容，其中用到了SVM回归。我采用的libSVM.网上论坛和博客已经有其相当详细的介绍，但是操作步骤比较多，且要下载的文件也比较多。之后我把应该要具有的svm文件整理在一个文件夹中，并把相关教程，和自己的操作经验一并打包在此分享。有些文件是自己编写的，用来转换libsvm数据格式，其他的都在相应的文件夹下可以找到，我自己的实验数据和图也在其中。记住，gridregression.py使用时要内部改路径。我的是64位系统
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This time I learning machine learning related content, which USES the SVM regression. I use libSVM. Online BBS and blogs have the quite detailed introduction, but more of the process, and also more to download the file. After I put the should have the SVM papers in a folder, and the related tutorials, and share his experiences along with all the packaging in this. Some files are writing your own, which is used to convert libsvm data format, the rest can be found in the corresponding folder, my own experimental data and figure among them. Remember, gridregression. Py when using internal to change path. I was a 64- bit system )
- 2016-01-23 23:22:44下载
- 积分：1
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文档词语检索
在很多文档中查找是否存在某个词语
- 2021-08-24 00:31:08下载
- 积分：1
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sklearn-tree-BN-knn
分类器的性能比较与调优:
使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。
使用不同分析三种分类器在实验中的性能比较，分析它们的特点。
本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers:
We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application.
The performances of three classifiers are compared and their characteristics are analyzed.
The data set used in this experiment is house and segment.)
- 2021-04-16 15:08:53下载
- 积分：1
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支持向量机
SVM算法实现,在机器学习领域，是一个有监督的学习模型，通常用来进行模式识别、分类以及回归分析。它是针对线性可分情况进行分析，对于线性不可分的情况，通过使用非线性映射算法将低维输入空间线性不可分的样本转化为高维特征空间使其线性可分，从而使得高维特征空间采用线性算法对样本的非线性特征进行线性分析成为可能。
- 2022-04-09 06:45:01下载
- 积分：1
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derangementsRecursion
A derangement Recursion written in Python
- 2010-11-02 06:22:16下载
- 积分：1
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MoHuJuLei
说明： 模糊聚类对iris数据集分类，测试结果显示较好的准确率(Classification of iris data sets by fuzzy clustering)
- 2020-03-31 23:59:59下载
- 积分：1
