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[Other] fknn DL : 1: KNN算法的实现，k-nearest neighbors聚类算法的matlab 实现
Update : 2008-10-13 Size : 2.17kb Publisher : jack
[Other resource] fknn-fxtoolbox DL : 0: FKNN:模糊KNN分类算法，分类原理简单，是在KNN的基础上扩展而成
Update : 2008-10-13 Size : 81.53kb Publisher : zhihuah
[Other] fknn DL : 0: KNN算法的实现，k-nearest neighbors聚类算法的matlab 实现-KNN algorithm, k-nearest neighbors clustering algorithm to achieve the matlab
Update : 2025-02-17 Size : 2kb Publisher : jack
[AI-NN-PR] fknn-fxtoolbox DL : 0: FKNN:模糊KNN分类算法，分类原理简单，是在KNN的基础上扩展而成-FKNN: Fuzzy KNN classification algorithm, a simple classification principle is based on the expansion of KNN by
Update : 2025-02-17 Size : 81kb Publisher : zhihuah
[matlab] fknn DL : 1: fuzzy k-nearest-neighbor algotithm-fuzzy k-nearest-neighbor algotithm
Update : 2025-02-17 Size : 3kb Publisher : pretender001
[Wavelet] 04799006 DL : 0: The authors present an automatic classification of different power quality (PQ) disturbances using wavelet packet transform (WPT) and fuzzy k-nearest neighbour (FkNN) based classifier. The training data samples are generated using parametric models of the PQ disturbances. The features are extracted using some of the statistical measures on the WPT coefficients of the disturbance signal when decomposed upto the fourth level. These features are given to the fuzzy k-NN for effective classification.
Update : 2025-02-17 Size : 567kb Publisher : gk
[Special Effects] fknn DL : 0: Matlab Fuzzy k-Nearest Neighbor 分类算法-Fuzzy k-Nearest Neighbor Classification Algorithm
Update : 2025-02-17 Size : 2kb Publisher : zx
[MultiLanguage] fknn DL : 0: FKNN Fuzzy k-nearest neighbor classification algorithm.
Update : 2025-02-17 Size : 2kb Publisher : majdi
[Picture Viewer] aareition DL : 0: er than mean squared error (MSE) function only. As an additional merit, it is also revealed that rigorous Mercer kernel condition is not required in FKNN networks. When the proposed architecture of FKNN networks is constructed in a layer-by-layer way, i.e., the number of the hidden nodes of every hidden layer may be determined only in terms of the extracted principal com- ponents after the explicit execution of a KPCA, we can develop FKNN’s deep architecture such that its deep learning framework (DLF) has strong theoretical guarantee. Our experimental results about image classification manifest that the proposed FKNN’s deep architecture and its DLF based learning indeed enhance the classification performance
Update : 2025-02-17 Size : 1.51mb Publisher : yangs
[Documents] A Fuzzy K-Nearest Neighbor Algorithm DL : 0: 模糊k近邻的经典理论之作，很详细，大家可以下载(A Fuzzy K-Nearest Neighbor Algorithm)
Update : 2025-02-17 Size : 1.29mb Publisher : cherish&2017