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Emotion recognition classification based on deap data set, including feature extraction and classification
Date : 2025-07-05 Size : 3.85mb User : hjcupupup

车牌识别系统,包括读取摄像头车牌图片,处理识别车牌,匹配内部存储车牌号数据库,自动给出是否允许进入的指令。已整合成界面,全面强大
Date : 2020-02-09 Size : 3.17mb User : 392813912@qq.com

This project is based on Matlab bp neural network Handwritten digit recognition system. With GUI human-computer interactive interface. Read in the test picture, through the interception of a number, preprocessing, after
Date : 2025-07-05 Size : 530kb User : www.wobishe.com

AUV control simulation, Sliding mode control, It has great reference significance for the simulation of underwater unmanned platform
Date : 2025-07-05 Size : 809kb User : 小灰狼_58

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Kernel limit learning machine is a single hidden layer feedforward neural networks (slfns). It only needs to set the number of hidden layer nodes, and then use the least square method to calculate the weight. Therefore,
Date : 2025-07-05 Size : 35kb User : chenfeng1

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PSO optimizes SVM parameters, which can be run. MATLAB implementation
Date : 2025-07-05 Size : 2kb User : 卜娜娜

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DBSCAN clustering algorithm
Date : 2025-07-05 Size : 2kb User : Khalil13

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BRIG is a cross-platform desktop application written in Java,
Date : 2025-07-05 Size : 12.24mb User : JessicaYi

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The node2vec model of Stanford University is embedded in the diagram, and the description is shared in detail. The original file is made by Python 2, and my modified version of Python 3 is shared
Date : 2025-07-05 Size : 9kb User : ytdhblk

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canculate the Fractional nolinear system lyapunov Exponments
Date : 2025-07-05 Size : 16.42mb User : 卡西莫多de礼物

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MATLAB tutorial (3) introduction, examples and summary of cellular automata (teacher zhou luwen)
Date : 2025-07-05 Size : 20.45mb User : wsyzxka

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Multi-objective genetic algorithm is nsga-ii [1] (improved non-dominant sorting algorithm), which has the following advantages compared with other multi-objective genetic algorithms: the complexity of the traditional non
Date : 2025-07-05 Size : 16kb User : 浅浪
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