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...

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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

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