V, R. V. (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. Sciendo.
Chicago Style (17th ed.) CitationV, Romanuke Vadim. 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. Sciendo, 2017.
MLA (8th ed.) CitationV, Romanuke Vadim. 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. Sciendo, 2017.