Manufacturing process encoding through natural language processing for prediction of material properties

Published: 23 November 2023| Version 1 | DOI: 10.17632/ysndxjs9gp.1
Contributors:
Ana Paula de Oliveira Costa, Mariana Seabra, José César de Sá, Abel Santos

Description

This dataset encompasses all the data used in the machine learning model presented in the paper titled 'Manufacturing Process Encoding through Natural Language Processing for Prediction of Material Properties,' authored by the same individuals. It consists of historical manufacturing process data and processed information, including both labeled and one-hot encoded data. The paper thoroughly details the hyperparameters employed in the models and provides a comprehensive overview of the training and test sets. Additionally, the dataset includes the detailed code for the neural network structure. Furthermore, it incorporates the code for PCA and K-means analysis as presented in the paper.

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Institutions

Universidade do Porto Faculdade de Engenharia

Categories

Alloy, Principal Component Analysis, Database, Neural Network, k-means Clustering

Funding

Fundação para a Ciência e Tecnologia

2021.05067.BD

University of Lisbon

UIDP/00310/2020

Licence