American Psychological Association 6th edition

An, F.-P., Liu, J.- e, & Bai, L. (2022). Object recognition algorithm based on optimized nonlinear activation function-global convolutional neural network. Visual Computer, 38(2), 541-553. https://doi.org/10.1007/s00371-020-02033-x

ISO-690 (author-date, English)

AN, Feng-Ping, LIU, Jun-e und BAI, Lei, 2022. Object recognition algorithm based on optimized nonlinear activation function-global convolutional neural network. Visual Computer. 1 Februar 2022. Vol. 38, no. 2, p. 541-553. DOI 10.1007/s00371-020-02033-x.

Modern Language Association 9th edition

An, F.-P., J.- e Liu, und L. Bai. „Object Recognition Algorithm Based on Optimized Nonlinear Activation Function-Global Convolutional Neural Network.“. Visual Computer, Bd. 38, Nr. 2, Februar 2022, S. 541-53, https://doi.org/10.1007/s00371-020-02033-x.

Mohr Siebeck - Recht (Deutsch - Österreich)

An, Feng-Ping/Liu, Jun-e/Bai, Lei: Object recognition algorithm based on optimized nonlinear activation function-global convolutional neural network., Visual Computer 2022, 541-553.

Emerald - Harvard

An, F.-P., Liu, J.- e und Bai, L. (2022), „Object recognition algorithm based on optimized nonlinear activation function-global convolutional neural network.“, Visual Computer, Vol. 38 No. 2, S. 541-553.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.