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kasterenDataset
主要针对行为识别,常用数据处理方法及分类,可视化
包含数据集(Mainly for behavior recognition, commonly used data processing methods and classification, visualization
Contain data sets)
- 2021-03-30 10:29:10下载
- 积分:1
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数值算法
常用数值算法源码,包括二分法、复化辛卜生公式、改进欧拉法、高斯-赛德尔迭代法、拉格郎日插值多项式、列主元高斯消去法、龙贝格算法、龙格-库塔算法、幂法、牛顿迭代法、牛顿值多项式、四阶阿当姆斯预测-校正公式、雅可比迭代法、自适应梯形公式(变步长)、最小二乘法
个人由于需要编写,完全可用(Common numerical algorithm source code, including dichotomy, complex Simpson formula, improved Euler method, Gauss-Seidel iteration method, Lagrange interpolation polynomial, column principal element Gauss elimination method, Runberg algorithm, Runge-Kutta algorithm, power method, Newton iteration method, Newton value polynomial, fourth-order Adams prediction-correction formula, Jacobi iteration method, adaptive ladder formula (variable) Step Length and Least Square Method
Individuals are fully available because they need to write)
- 2019-05-03 18:36:35下载
- 积分:1
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15082012
求解矩阵的最大最小特征值及对应的特征向量,以及计算条件数()
- 2020-08-31 01:18:10下载
- 积分:1
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关于大数据的相关论文
关于大数据的论文,对稀疏表示分类有很大的帮助,希望对初学者哟帮助
- 2022-02-06 00:21:30下载
- 积分:1
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DataMiningProject-Bearing
说明: 用于轴承大数据的故障诊断和数据挖掘,可将轴承的振动信息进行数组分析,获得预测模型,准确率较高(It can be used for fault diagnosis and data mining of bearing big data. It can analyze the vibration information of bearing by array and obtain the prediction model with high accuracy)
- 2020-04-12 12:38:34下载
- 积分:1
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Eigenfunction-Program-Program
强大的计算电磁场本征函数与本征模的程序,matlab版本(A powerful Program for calculating the Eigenfunction and Eigenmode of electromagnetic Field)
- 2018-09-11 22:56:16下载
- 积分:1
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rcitime__type
二进制粒子群优化算法pso,主程序:swarmpso m 它包括以下子程序: 1 初始化:swarminit m 2 适应值计算函()
- 2017-12-09 12:19:17下载
- 积分:1
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znsbudk
人工智能中,经典的基于小波变换的图像处理和图像去噪的解决办法,可下载后观摩使用(In artificial intelligence, the classical image processing and image denoising based on wavelet transform can be downloaded and used)
- 2018-09-04 02:06:36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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HMM-homework
说明: 隐马尔科夫实现,包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)
- 2019-04-26 17:02:43下载
- 积分:1