资源列表
字频统计
- 对任意文本文件中出现的汉字的字形数和字种数进行频次统计。字频统计结果按照降序输出。可同时选中多个文本文件进行字频统计(The number of characters and the number of Chinese characters in any text file are counted. The statistical results in descending order of frequency output. Can also select multiple text file
network
- 程序清单,面向Matlab工具箱的神经网络理论与应用(matlab netural network)
SparkMLlibDeepLearn-master
- scala脚本编写的深度学习算法，包含有DBN,CNN,CAE，NN,SAE(scala scr ipt prepared by the depth of learning algorithms, including DBN, CNN, CAE, NN, SAE)
雷达系统分析与设计（MATLAB）
- 讨论了雷达基本概念和技术原理，具体描述了雷达截面、极化、匹配滤波器和雷达模糊函数及雷达波传播的最新进展，并给出了PRN 码，多径和折射、高距离分辨率、杂波和MIT处理的有关内容。新版增加了更多习题，包含丰富的MATLAB程序代码可用于雷达系统的分析和设计，具有很高的实际应用价值。(Discuss the basic concept and principle of radar technology, describes the latest progress of radar cross sec
3.25 基于脉冲耦合神经网络的图像分割
- 这是基于脉冲耦合神经网络的图像分割，提供给大家方便学习(This is based on pulse coupled neural network image segmentation, to provide you with convenient learning)
3.19 基于Kalman滤波的目标跟踪
- 应用Kalrnan滤波原理，对运动目标进行跟踪，缩小目标的搜索范围，实现快速实时跟踪，使跟踪更为准确。理论分析和实验结果表明，该算法与常规的模板匹配法、直方图模板匹配法等算法相比，有效地提高了目标跟踪的速度及跟踪的准确性。(The Kalrnan filtering principle is used to track the moving target, reduce the search range of the target, realize fast and real-time trac
LSTM_learn-master
- 采用LSTM算法用python语言实现的信号时间序列预测，可预测信号的占用度(The LSTM algorithm is used to predict the signal time series in python language)
spark-timeSeries
- 采用ARIMA模型（自回归积分滑动平均模型）+三次指数平滑法(Holt-Winters)，用scala语言实现的在spark平台运行的分布式时间序列预测算法(Using the ARIMA model (autoregressive integral moving average model) + Holt-Winters (Holt-Winters), using scala language to achieve the spark platform to run the distribut
06-svmMLiA
- 采用SVM算法，用python语言实现的分类识别，可用于异常检测等二分类(Using SVM algorithm, using python language to achieve the classification of identification, can be used for abnormal detection and other two categories)
c语言源程序900例
- 用于数学建模中最常见的30个C语言基本程序，有助于新手实现对数学建模和C语言的快速入手，谢谢(The most commonly used 30 basic Matlab programs in mathematical modeling, help novice to achieve the rapid start of mathematical modeling and Matlab, thank you)
regress
- 一个xgboost实现的回归模型预测，数据集来源于kaggle的taxi竞赛(Regression model prediction based on a xgboost implementation)
knn
- 采用KNN（K邻近算法），用matlab平台实现的分类预测算法(Using KNN (K adjacent algorithm), using matlab platform to achieve the classification prediction algorithm)