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AI-NN-PR list
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In the study, fault diagnosis, pattern recognition is very important part of the program is to support vector machine pattern recognition MATLAB program.
Update : 2025-03-09 Size : 7kb Publisher : 胡永红

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Examples of optimization matlab based artificial neural network and its simulation program
Update : 2025-03-09 Size : 894kb Publisher : 李本斌

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Linear regression learning algorithm. Including data analysis, linear regression line gradient descent, polynomial regression. Compressed data given .txt file and documentation.
Update : 2025-03-09 Size : 66kb Publisher : 安静

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Kmeans classical algorithm, the input for training samples and the number of clusters.
Update : 2025-03-09 Size : 1kb Publisher : nuclearwp

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Isodata clustering algorithm, the parameters can be set to a book, written with reference to version 1986 Cai Yuanlong teacher pattern recognition related content, for beginners learning.
Update : 2025-03-09 Size : 3kb Publisher : nuclearwp

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ARX' s on first order, second order, third-order model of analysis, comparison. This is a complete program, slightly modified parameters.
Update : 2025-03-09 Size : 2kb Publisher : 毓秀嘉儿

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The source program of NSGA-2,the classical multi-objective optimization algorithms,it is helpful to learning the multi-objective optimization.
Update : 2025-03-09 Size : 11kb Publisher : leon-tsao

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30 case program, neural network has a great help to learners of neural network and SVM
Update : 2025-03-09 Size : 6.33mb Publisher : xiaodongshao

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ufldl, softmax_exercise
Update : 2025-03-09 Size : 83kb Publisher : 刘二

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Apriori algorithm to achieve the classic data mining algorithms to achieve
Update : 2025-03-09 Size : 1kb Publisher : Lu er wei

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This code is I do gray correlation analysis used matlab code, the experimental data are used, can be run directly, hoping to be useful for other learning gray correlation analysis of staff.
Update : 2025-03-09 Size : 1kb Publisher : zhanmin

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Joint Modeling of a Matrix with Associated Text via Latent Binary Features
Update : 2025-03-09 Size : 514kb Publisher : 黄果树
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