Artificial Neural Networks for Discrimination of Automotive Clear Coats by Vehicle Manufacturer

. Several multilayer perceptron neural network models, each with three hidden layers, were developed that achieved high classification success rates for the training, validation, and prediction sets. The addition of convolutional layers to the deep learning neural network models did not improve the performance of these models.

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Publication Details

Journal
Sensors
Published
2026-04-06
DOI
https://doi.org/10.3390/s26072260
Primary Topic
Cultural Heritage Materials Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Artificial Neural Networks for Discrimination of Automotive Clear Coats by Vehicle Manufacturer

Barry K. Lavine, Collin G. White, Douglas R. Heisterkamp
Sensors
Cultural Heritage Materials Analysis
article

Artificial Neural Networks for Discrimination of Automotive Clear Coats by Vehicle Manufacturer

Barry K. Lavine, Collin G. White, Douglas R. Heisterkamp
article en

Abstract

. Several multilayer perceptron neural network models, each with three hidden layers, were developed that achieved high classification success rates for the training, validation, and prediction sets. The addition of convolutional layers to the deep learning neural network models did not improve the performance of these models.

SensorsVol. 26(7)
Oklahoma State University (US)
U.S. Department of Justice, Office of Justice Programs, National Institute of Justice
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 26%
Cultural Heritage Materials Analysis
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