ROMANUKE, Vadim V. 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. Electrical, Control and Communication Engineering, Riga, Latvia, v. 13, n. 1, p. 45–54, 2017. DOI: 10.1515/ecce-2017-0007. Disponível em: https://ecce-journals.rtu.lv/ecce/article/view/ecce-2017-0007.. Acesso em: 5 nov. 2024.