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Classifying Scaled-Turned-Shifted Objects with Optimal Pixel-to-Scale-Turn-Shift Standard Deviations Ratio in Training 2-Layer Perceptron on Scaled-Turned-Shifted 4800-Featured Objects under Normally Distributed Feature Distortion Cover

Classifying Scaled-Turned-Shifted Objects with Optimal Pixel-to-Scale-Turn-Shift Standard Deviations Ratio in Training 2-Layer Perceptron on Scaled-Turned-Shifted 4800-Featured Objects under Normally Distributed Feature Distortion

Electrical, Control and Communication Engineering
Volume 13 (2017): Issue 1 (December 2017)
By:   
Open Access
|Dec 2017
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DOI: https://doi.org/10.1515/ecce-2017-0007 | Journal eISSN: 2255-9159 | Journal ISSN: 2255-9140
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Language: English
Page range: 45 - 54
Published online: Dec 29, 2017
Published in print: Dec 1, 2017
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
2-layer perceptron,
distortion,
pixel-to-scale-turn-shift standard deviations ratio,
scaled-turned-shifted objects
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2017 Vadim V. Romanuke, published by Riga Technical University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 13 (2017): Issue 1 (December 2017)
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