Research on Semiconductor Chip Grade Classification and Real-Time Evaluation Method Based on Hybrid Artificial Intelligence Technology
Cong Xu@WenshengChen
Mingkuan Lin
Jianli Lu
Yunghsiao Chung
Jiahu Zou
Ciliang Yang
DOI: https://doi.org/10.59429/esta.v10i5.1406
Keywords: Semiconductor chips are widely used in various industries, making the classification of their quality grades and real-time evaluation crucial for ensuring optimal performance and reliability. This paper presents a semiconductor chip grade classification a
Abstract
Semiconductor chips are widely used in various industries, making the classification of their quality grades and real-time evaluation crucial for ensuring optimal performance and reliability. This paper presents a semiconductor chip grade classification and real-time evaluation method based on hybrid artificial intelligence techniques, effectively improving the accuracy and efficiency of the classification process. Through extensive experiments on real-world data sets, the method demonstrated superior performance in terms of classification accuracy, real-time evaluation, and generalization capabilities compared to traditional methods.
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