Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Electrical, Control and Communication Engineering
Volume 13 (2017): Issue 1 (December 2017)
Open Access
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
| Dec 29, 2017
Electrical, Control and Communication Engineering
Volume 13 (2017): Issue 1 (December 2017)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Dec 29, 2017
Page range:
45 - 54
DOI:
https://doi.org/10.1515/ecce-2017-0007
Keywords
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.
Vadim V. Romanuke
Polish Naval Academy
Gdynia, Poland