A Hybrid Predictive Approach for Chromium Layer Thickness in the Hard Chromium Plating Process Based on the Differential Evolution/Gradient Boosted Regression Tree Methodology

A Hybrid Predictive Approach for Chromium Layer Thickness in the Hard Chromium Plating Process Based on the Differential Evolution/Gradient Boosted Regression Tree Methodology

The purpose of the industrial process of chromium plating is the creation of a hard and wear-resistant layer of chromium over a metallic surface. One of the main properties of chromium plating is its resistance to both wear and corrosion. This research presents an innovative nonparametric machine le...

Full description

Bibliographic Details
Main Authors: Paulino José Garcia Nieto, Esperanza García Gonzalo, Fernando Sanchez Lasheras, Antonio Bernardo Sánchez
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Mathematics
Subjects:
gradient boosted regression tree (GBRT)
differential evolution (DE)
machine learning
statistical regression
hard chromium plating process
Online Access:https://www.mdpi.com/2227-7390/8/6/959

Internet

https://www.mdpi.com/2227-7390/8/6/959

Similar Items