American Psychological Association 6th edition

LONG CHENG, HOU, Z.-G., YINGZI LIN, MIN TAN, ZHANG, W. C., & WU, F.-X. (2011). Recurrent Neural Network for Non-Smooth Convex Optimization Problems with Application to the Identification of Genetic Regulatory Networks. IEEE Transactions on Neural Networks, 22(5), 714-726.

ISO-690 (author-date, English)

LONG CHENG, HOU, Zeng-Guang, YINGZI LIN, MIN TAN, ZHANG, Wenjun Chris and WU, Fang-Xiang, 2011. Recurrent Neural Network for Non-Smooth Convex Optimization Problems with Application to the Identification of Genetic Regulatory Networks. IEEE transactions on neural networks. 1 January 2011. Vol. 22, no. 5, p. 714-726.

Modern Language Association 9th edition

LONG CHENG, Z.-G. HOU, YINGZI LIN, MIN TAN, W. C. ZHANG, and F.-X. WU. “Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks”. IEEE Transactions on Neural Networks, vol. 22, no. 5, Jan. 2011, pp. 714-26.

Mohr Siebeck - Recht (Deutsch - Österreich)

LONG CHENG/HOU, Zeng-Guang/YINGZI LIN/MIN TAN/ZHANG, Wenjun Chris/WU, Fang-Xiang: Recurrent Neural Network for Non-Smooth Convex Optimization Problems with Application to the Identification of Genetic Regulatory Networks, IEEE transactions on neural networks 2011, 714-726.

Emerald - Harvard

LONG CHENG, HOU, Z.-G., YINGZI LIN, MIN TAN, ZHANG, W.C. and WU, F.-X. (2011), “Recurrent Neural Network for Non-Smooth Convex Optimization Problems with Application to the Identification of Genetic Regulatory Networks”, IEEE Transactions on Neural Networks, Vol. 22 No. 5, pp. 714-726.

Warning: These citations may not always be 100% accurate.