Research on Quality Prediction for Thermal Printing Using a Particle Swarm Optimization with Back Propagation (PSO-BP) Neural Network

Research on Quality Prediction for Thermal Printing Using a Particle Swarm Optimization with Back Propagation (PSO-BP) Neural Network

Thermal printing is a prevalent method due to its advantages of rapid output, cost effectiveness, and ease of use. However, the quality of thermal printing is influenced by the printing speed, the temperature, and the concentration and characteristics of the materials. This research employs a BP neu...

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Bibliographic Details
Main Authors: Chun-Ling Ho, Zhiyun Wu, Tung-Chiung Chang, Shenjun Qi
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
thermal printing
quality prediction
optimization
BP neural network
particle swarm optimization (PSO)
Online Access:https://www.mdpi.com/2076-3417/15/9/5116
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