Chip Surface Character Detection Based on Convolution Neural Network

Li, Jiaxin; Zhang, Hesheng; Fang, Yubin; Zhu, Xiaojin

doi:10.23919/chicc.2018.8483850

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…The most famous neural network target recognition algorithm is the forward multilayer neural network based on adaptive signal processing theory and its back learning algorithm. With the continuous development, Kaiming He et al [138] proposed a residual neural network (ResNet), which is mainly manifested by taking the characteristic graph obtained by adding the input and output of the network as the final output of the structure on the basis of a shallow network. Adding such a structure into the network cannot only increase the depth of the network but also keep the network performance from degrading.…”

Section: Fusion Algorithm Based On Information Theorymentioning

confidence: 99%

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Multi-sensor measurement and data fusion technology for manufacturing process monitoring: a literature review

Kong¹,

Peng²,

Chen³

et al. 2020

Int. J. Extrem. Manuf.

116

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Due to the rapid development of precision manufacturing technology, much research has been conducted in the field of multisensor measurement and data fusion technology with a goal of enhancing monitoring capabilities in terms of measurement accuracy and information richness, thereby improving the efficiency and precision of manufacturing. In a multisensor system, each sensor independently measures certain parameters. Then, the system uses a relevant signal-processing algorithm to combine all of the independent measurements into a comprehensive set of measurement results. The purpose of this paper is to describe multisensor measurement and data fusion technology and its applications in precision monitoring systems. The architecture of multisensor measurement systems is reviewed, and some implementations in manufacturing systems are presented. In addition to the multisensor measurement system, related data fusion methods and algorithms are summarized. Further perspectives on multisensor monitoring and data fusion technology are included at the end of this paper.

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Section: Fusion Algorithm Based On Information Theorymentioning

confidence: 99%

“…Two kinds of neural network methods of detecting the surface defect segmentation effect in magnetic tile. Reproduced with permission from[138].…”

mentioning

confidence: 99%