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This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP neural network, RBF neural network, SVM, SOM neural network, g
Date : 2025-06-29 Size : 124kb User : wangliu12

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This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP neural network, RBF neural network, SVM, SOM neural network, n
Date : 2025-06-29 Size : 125kb User : wangliu12

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This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP neural network, RBF neural network, SVM, SOM neural network, e
Date : 2025-06-29 Size : 125kb User : liusun1

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This program discusses how to implement neural network in MATLAB environment, including the commonly used neural network and related theories, such as BP neural network, RBF neural network, SVM, SOM neural network and so
Date : 2025-06-29 Size : 126kb User : liusun1

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This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP neural network, RBF neural network, SVM and so on, and the com
Date : 2025-06-29 Size : 126kb User : zidoa

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This program discusses how to implement neural network in the MATLAB environment, including the commonly used neural network and related theories, such as BP neural network, SVM, and the combination of various optimizati
Date : 2025-06-29 Size : 127kb User : zidoa

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The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers are attached.
Date : 2025-06-29 Size : 127kb User : zidoa

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The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached.
Date : 2025-06-29 Size : 128kb User : zidoa

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The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached. Multiobjective optimization for a multi obje
Date : 2025-06-29 Size : 129kb User : zidongh

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The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached. Multiobjective optimization with two optimal
Date : 2025-06-29 Size : 130kb User : zidongh

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Paper on random forest , ANN , LinearSVM , Logistic regression classifiers
Date : 2025-06-29 Size : 334kb User : cladloda

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another paper on machine learning and classification
Date : 2025-06-29 Size : 70kb User : cladloda
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