Optimizing performance of recycled aggregate materials using BP neural network analysis: A study on permeability and water storage

Xu, Peilong; Liu, Hongyan; Zhang, Hanwen; Lan, Dan; Shin, Incheol

doi:10.1016/j.dwt.2024.100056

Desalination and Water Treatment

2024

DOI: 10.1016/j.dwt.2024.100056

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Optimizing performance of recycled aggregate materials using BP neural network analysis: A study on permeability and water storage

Peilong Xu,

Hongyan Liu,

Hanwen Zhang

et al.

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Deep Learning and Face Recognition: Face Recognition Approach Based on the DS-CDCN Algorithm

Deng,

Xu,

et al. 2024

Applied Sciences

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To enhance the performance and reliability of the face recognition algorithm that is based on deep learning technology, this study utilizes a density-based noise-applied spatial clustering algorithm to cluster a large-scale face image dataset, resulting in a self-constructed dataset. A deep separable center differential convolutional network algorithm is utilized for face recognition. The impact of convolutional parameters on the algorithm’s performance is verified through experiments with ablated convolutional parameters. The study found that the density-based noise-applied spatial clustering algorithm resulted in time savings of 43.66% and 51.22% compared to the K-means clustering algorithm and the hierarchical clustering algorithm, respectively, when analyzing 8000 images. Additionally, the depth-separable center difference convolutional network algorithm had a lower average classification error rate compared to the other two algorithms, with reductions of 2.49% and 17.01%, respectively. The depth-separable center difference convolutional network technique is an advanced method for identifying the faces of people of different races, according to the experimental investigation. It can provide efficient and accurate services for the face recognition needs of various races.

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Deep Learning and Face Recognition: Face Recognition Approach Based on the DS-CDCN Algorithm

Deng,

Xu,

et al. 2024

Applied Sciences

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show abstract

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Optimizing performance of recycled aggregate materials using BP neural network analysis: A study on permeability and water storage

Cited by 1 publication

References 20 publications

Deep Learning and Face Recognition: Face Recognition Approach Based on the DS-CDCN Algorithm

Deep Learning and Face Recognition: Face Recognition Approach Based on the DS-CDCN Algorithm

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