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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

Vadim V. Romanuke

Vadim V. Romanuke

Polish Naval AcademyGdynia, Poland
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Romanuke, Vadim V.
  
Dec 29, 2017
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's Cover Image
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Published Online: Dec 29, 2017
Page range: 45 - 54
DOI: https://doi.org/10.1515/ecce-2017-0007
Keywords
© 2017 Vadim V. Romanuke, published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Romanuke, Vadim V.
Polish Naval AcademyGdynia, Poland
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Engineering, Introductions and Overviews, Engineering, other
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