Searching by Topological Complexity: Lightweight Neural Architecture Search for Coal and Gangue Classification

Searching by Topological Complexity: Lightweight Neural Architecture Search for Coal and Gangue Classification

Lightweight and adaptive adjustment are key research directions for deep neural networks (DNNs). In coal industry mining, frequent changes in raw coal sources and production batches can cause uneven distribution of appearance features, leading to concept drift problems. The network architecture and...

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Bibliographic Details
Main Authors: Wenbo Zhu, Yongcong Hu, Zhengjun Zhu, Wei-Chang Yeh, Haibing Li, Zhongbo Zhang, Weijie Fu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Mathematics
Subjects:
Neural Architecture Search
lightweight neural network
topological complexity
multiobjective optimization
adaptive adjustment
Online Access:https://www.mdpi.com/2227-7390/12/5/759

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https://www.mdpi.com/2227-7390/12/5/759

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