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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

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
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

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