Prediction Model of Material Properties Based on Feature Fusion and Convolutional Neural Network

Prediction Model of Material Properties Based on Feature Fusion and Convolutional Neural Network

Aiming at the problem that most machine learning models need a lot of prior knowledge and manual selection of feature vectors in the prediction of material properties, a convolutional neural network model OPCNN (Orbital of Electron and Periodic table CNN) is established by feature fusion based on tw...

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Bibliographic Details
Main Authors: SHI Jingchen, LIU Feining, WANG Wenjie, ZHAO Rui
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2024-06-01
Series:Journal of Harbin University of Science and Technology
Subjects:
neural networks
descriptor
prediction
periodic table of elements
electron orbital
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2338
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