Vlačić, V., & Bölcskei, H. (2022). Neural Network Identifiability for a Family of Sigmoidal Nonlinearities. Constructive Approximation, 55(1), 173-224. https://doi.org/10.1007/s00365-021-09544-3
ISO-690 (author-date, English)VLAČIĆ, Verner und BÖLCSKEI, Helmut, 2022. Neural Network Identifiability for a Family of Sigmoidal Nonlinearities. Constructive Approximation. 1 Februar 2022. Vol. 55, no. 1, p. 173-224. DOI 10.1007/s00365-021-09544-3.
Modern Language Association 9th editionVlačić, V., und H. Bölcskei. „Neural Network Identifiability for a Family of Sigmoidal Nonlinearities“. Constructive Approximation, Bd. 55, Nr. 1, Februar 2022, S. 173-24, https://doi.org/10.1007/s00365-021-09544-3.
Mohr Siebeck - Recht (Deutsch - Österreich)Vlačić, Verner/Bölcskei, Helmut: Neural Network Identifiability for a Family of Sigmoidal Nonlinearities, Constructive Approximation 2022, 173-224.
Emerald - HarvardVlačić, V. und Bölcskei, H. (2022), „Neural Network Identifiability for a Family of Sigmoidal Nonlinearities“, Constructive Approximation, Vol. 55 No. 1, S. 173-224.