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Optimal Pixel-to-Shift Standard Deviation Ratio for Training 2-Layer Perceptron on Shifted 60 × 80 Images with Pixel Distortion in Classifying Shifting-Distorted Objects Cover

Optimal Pixel-to-Shift Standard Deviation Ratio for Training 2-Layer Perceptron on Shifted 60 × 80 Images with Pixel Distortion in Classifying Shifting-Distorted Objects

Applied Computer Systems
Volume 19 (2016): Issue 1 (May 2016)
By:   
Open Access
|May 2016
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DOI: https://doi.org/10.1515/acss-2016-0008 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
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Language: English
Page range: 61 - 70
Published on: May 28, 2016
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
2-layer perceptron,
classification error percentage minimisation,
monochrome images,
object classification,
optimal training,
shifting-distorted objects
Related subjects:
Computer sciences,
Artificial intelligence,
Information technology,
Project management,
Software development

© 2016 Vadim V. Romanuke, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 19 (2016): Issue 1 (May 2016)
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