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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

Romanuke, Vadim V.

29 dic 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

Electrical, Control and Communication Engineering

Volume 13 (2017): Numero 1 (Dicembre 2017)

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Pubblicato online: 29 dic 2017

Pagine: 45 - 54

DOI: https://doi.org/10.1515/ecce-2017-0007

Parole chiave
2-layer perceptron, distortion, pixel-to-scale-turn-shift standard deviations ratio, scaled-turned-shifted objects

© 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

Lingua:: Inglese

Frequenza di pubblicazione:: 2 volte all'anno
Argomenti della rivista:: Ingegneria, Introduzioni e rassegna, Ingegneria, altro

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