Multivariate classification prediction | Matlab optimizes convolutional neural network data classification prediction based on EVO-CNN energy valley - Code World

Multivariate classification prediction | Matlab optimizes convolutional neural network data classification prediction based on EVO-CNN energy valley

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Multivariate Classification Prediction | Matlab optimizes convolutional neural network data classification prediction based on EVO-CNN energy valley. MATLAB program, multi-line variable feature input, optimized learning rate, convolution kernel size and number of convolution kernels, etc., to facilitate the addition of dimensions to optimize other parameters.
It is suitable for bearing fault identification/diagnosis/classification, transformer oil and gas fault identification/diagnosis/classification, power system transmission line fault area identification/diagnosis/classification, insulator, distribution network fault identification/diagnosis/classification, etc.
The Energy valley optimizer (EVO) is a novel meta-heuristic algorithm proposed by MahdiAzizi et al. in 2023, which is inspired by the physical principles about stability and decay modes of different particles. Writing paper is highly innovative. <

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Origin blog.csdn.net/m0_57362105/article/details/132245224

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