Estimación del coste del gas en transacciones de Ethereum mediante Deep Learning

Arias-Sánchez, Antonio

Estimación del coste del gas en transacciones de Ethereum mediante Deep Learning

Abstract

This work studies the application of Deep Learning techniques to Ethereum blockchain Gas price prediction. After a brief introduction to Deep Learning and Ethereum Blockchain, a literature review and search of related works is performed. Then, a Machine Learning scenario is proposed, where the gas price is to be predicted from several Ethereum blockchain parameters that seem relevant. A data source from where to get historical datasets has been identified, and scripts have been prepared to retrieve and prepare them. A preliminary data analysis is then performed on them. Subsequently, several models and Artificial Neural Networks are proposed, created and trained with the previous datasets, and their results compared and commented. Lastly, conclusions, and possible additional study lines, are presented.

Citation

Arias-Sánchez, A. (2022). Estimación del coste del gas en transacciones de Ethereum mediante Deep Learning. Universitat Oberta de Catalunya (UOC). https://hdl.handle.net/10609/147467

This citation was generated automatically.

Full item page