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matlab仿真 异步电机直接转矩控制。
Update : 2014-12-29 Size : 15.19kb Publisher : 1063929728@qq.com

西门子 通讯板cp243-1快速入门(含视频)
Update : 2015-02-05 Size : 1.56mb Publisher : summyflyer

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Regex source collections, a positive sample expression and the basics of canonical
Update : 2024-12-25 Size : 11kb Publisher : zheng hailong

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Split movielens dataset to trainset and test set
Update : 2024-12-25 Size : 2kb Publisher : 章旭

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image segmentation using k-means partitional clustering algorithm, matlab code
Update : 2024-12-25 Size : 1kb Publisher : pavan

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FASTICA(mixedsig) estimates the independent components given multidimensional signals. Each row of matrix mixedsig is one observed signal. FASTICA uses Hyvarinen s fixed-point algorithm.
Update : 2024-12-25 Size : 39kb Publisher : w

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Mainly based on K-means clustering algorithm for converting color images to grayscale.
Update : 2024-12-25 Size : 415kb Publisher : fangella

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Adaboost is an iterative algorithm, the core idea is the same training set for training different classifiers (weak classifiers), then these weak classifiers together to form a stronger final classifier (strong classifie
Update : 2024-12-25 Size : 3kb Publisher : 黑色地位

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In isolated word speech recognition, the most simple and effective method is to use DTW (Dynamic Time Warping, Dynamic Time whole) algorithm based on dynamic programming (DP) of thinking to solve the problem of template
Update : 2024-12-25 Size : 2kb Publisher : 黑色地位

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Nearby algorithm, or K-nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of classification data mining technology in the most simple way. The so-called K-nearest neighbor is the k nearest neighbor
Update : 2024-12-25 Size : 2kb Publisher : 黑色地位

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Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essen
Update : 2024-12-25 Size : 3kb Publisher : 黑色地位

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In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, and regression analysis.
Update : 2024-12-25 Size : 9kb Publisher : 黑色地位
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