artificial intelligence
ResNet-101 和 RegNetX-400MF 特征融合
ResNet-101 and RegNetX-400MF feature fusionA machine learning process combining feature extraction from two distinct deep convolutional neural network architectures (ResNet-101 and RegNetX-400MF) followed by data relabeling using the k-means clustering algorithm to classify defects in photovoltaic electroluminescence images. / 一种机器学习过程，结合了来自两种不同深度卷积神经网络架构（ResNet-101 和 RegNetX-400MF）的特征提取，随后使用 k-means 聚类算法进行数据重标记，以对光伏电致发光图像中的缺陷进行分类。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-05 22:05:19
Sub-knowledge points
ResNet-101 feature extractionRegNetX-400MF feature extractionk-means relabeling
Higher-order knowledge points
No connected node yet
Main parameters and performance indicators
ResNet-101: A deep residual convolutional neural network architecture.RegNetX-400MF: A convolutional neural network architecture.k-means: A clustering algorithm used for relabeling.Photovoltaic electroluminescence: The imaging technique applied.
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsResNet-101 and RegNetX-400MF feature fusion with k-means relabeling for photovoltaic electroluminescence defect classificationOpen source
Related products and links
No item recorded yet
Creation and modification trail
1 recordsRecord title: ResNet-101 and RegNetX-400MF feature fusion.
Node update feedback
review required