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【Compress-Decompress algrithms】 STM32F10x_StdPeriph_Lib_V3.5.0 DL : 0: STM32 F4 开发指南 V1.0 0 – 库函数版本 − − ALIENTEK 探索者 STM327 F407 -STM32 F4 kāi fà zhǐnán V1.0 0 – Kù hánshù bǎnběn − − ALIENTEK tànsuǒ zhě STM327 F407
Update : 2024-05-19 Size : 21935104 Publisher : 赵伟
【Data structs】 anabysew DL : 0: 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的-As a new mathematical tool of wavelet analysis and practical based on NN load forecasting model to performance
Update : 2024-05-19 Size : 92160 Publisher : cylwjwer
【Picture Viewer】 44549329 DL : 0: 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值-Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value
Update : 2024-05-19 Size : 642048 Publisher : xleueye
【Picture Viewer】 oxrplc DL : 0: 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值-Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value
Update : 2024-05-19 Size : 558080 Publisher : xleueye
【OS program】 XIYNK DL : 0: 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的-As a new mathematical tool of wavelet analysis and practical based on NN load forecasting model to performance
Update : 2024-05-19 Size : 92160 Publisher : dewqok
【Graph program】 61869883 DL : 0: 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值-Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value
Update : 2024-05-19 Size : 558080 Publisher : Carteo
【Graph Recognize】 usbmg DL : 0: 用NN算法对于急病类型进行分类实例 NN For Classification-Classified using NN algorithm For acute type instance NN For Classification
Update : 2024-05-19 Size : 2048 Publisher : OBUB@31008
【Picture Viewer】 VNVI DL : 0: 用NN算法对于急病类型进行分类实例 NN For Classification-Classified using NN algorithm For acute type instance NN For Classification
Update : 2024-05-19 Size : 2048 Publisher : Halew
【Windows Develop】 efad DL : 0: 随着新的数学工具小波分析的实用化为基于NN负荷预测模型性能的-As a new mathematical tool of wavelet analysis and practical based on NN load forecasting model to performance
Update : 2024-05-19 Size : 92160 Publisher : yoejzb
【matlab】 new-algorithm-method-using-SFR DL : 0: new algorithm of detection harmonic using synchronous reference frame with NN neural network.
Update : 2024-05-19 Size : 136192 Publisher : chadin
【matlab】 nnfuelcellmodeling DL : 0: Modeling of a fuell ell using adaptative neural network NN-feull
Update : 2024-05-19 Size : 23552 Publisher : chadin
【matlab】 PVNarxmodeling DL : 0: Modeling of PV using an innovetion methode using NARX (NN artificiel neural network)
Update : 2024-05-19 Size : 10240 Publisher : chadin
【Software Engineering】 Traveling-Salesman-Problem---Nearest-Neighbor DL : 0: Nearest Neighbour algorithm for a TSP with 7 cities. The solution changes as the starting point is changed The nearest neighbour (NN) algorithm (a greedy algorithm) lets the salesperson choose the nearest unvisited city as his next move. This algorithm quickly yields an effectively short route. For N cities randomly distributed on a plane, the algorithm on average yields a path 25 longer than the shortest possible path.[17] However, there exist many specially arranged city distributions which make the NN algorithm give the worst route (Gutin, Yeo, and Zverovich, 2002). This is true for both asymmetric and symmetric TSPs (Gutin and Yeo, 2007).-Nearest Neighbour algorithm for a TSP with 7 cities. The solution changes as the starting point is changed The nearest neighbour (NN) algorithm (a greedy algorithm) lets the salesperson choose the nearest unvisited city as his next move. This algorithm quickly yields an effectively short route. For N cities randomly distributed on a plane, the algorithm on average yields a path 25 longer than the shortest possible path.[17] However, there exist many specially arranged city distributions which make the NN algorithm give the worst route (Gutin, Yeo, and Zverovich, 2002). This is true for both asymmetric and symmetric TSPs (Gutin and Yeo, 2007).
Update : 2024-05-19 Size : 4096 Publisher : ahmed
【AI-NN-PR】 NN DL : 0: 实现的一个用于手写数字识别的框架，可以设置神经网络结构，用的数据是mnist的(Implementation of a handwritten numeral recognition framework, you can set the neural network structure, the training data is MNIST)
Update : 2024-05-19 Size : 13843456 Publisher : hlhsp
【Other】 Classification K-NN DL : 0: classification des image satilitaire par k-means
Update : 2024-05-19 Size : 1226752 Publisher : seddik
【AI-NN-PR】 K-NN等算法实现作业1 DL : 0: CS231n课后作业的官方习题答案，运行环境为Python2，有需要的同学可以自取(The official CS231n homework exercise answers, the operating environment for the Python2, students need to pick up)
Update : 2024-05-19 Size : 16212992 Publisher : YuukiIchika
【Other】 30708680wangyuanyuan DL : 0: 找了很久才找到的一个能用的。这是我在网上中的程序。(matlab nn. created by other people and it can run correctly.)
Update : 2024-05-19 Size : 4015104 Publisher : hangsyt
【Other】 NN-examples DL : 0: Neural Networks MATLAB examples
Update : 2024-05-19 Size : 1543168 Publisher : hoyu
【AI-NN-PR】 wi227 DL : 0: Contains a common array signal processing algorithm, Pisarenko harmonic decomposition algorithm, Matching Pursuit and orthogonal matching pursuit.
Update : 2024-05-19 Size : 6144 Publisher : fptsmswm
【matlab】 knn所涉及 DL : 0: KNN是通过测量不同特征值之间的距离进行分类。它的的思路是：如果一个样本在特征空间中的k个最相似(即特征空间中最邻近)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。K通常是不大于20的整数。KNN算法中，所选择的邻居都是已经正确分类的对象。该方法在定类决策上只依据最邻近的一个或者几个样本的类别来决定待分样本所属的类别。(NN is classified by measuring the distance between the different eigenvalues. It is the idea that the sample also belongs to this category if the majority of k samples of the sample in the feature space are the most similar (ie, the nearest neighbor in the feature space). K is usually an integer greater than 20. In the KNN algorithm, the selected neighbors are objects that have been correctly classified. The method determines the category of the sample to be sorted only on the classification decision based on the nearest one or several samples.)
Update : 2024-05-19 Size : 26624 Publisher : haibelief

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