1. Ahuja, R.K., Magnanti, T.L., Orlin, J.B.: Network Flows: Theory, Algorithms, and Applications. Prentice Hall, Upper Saddle River, New Jersey, USA (1993)
2. Ali, M.M., Kamoun, F.: A neural network approach to the maximum flow problem. In: IEEE Global Telecommunications Conference GLOBECOM’91: Countdown to the New Millennium. Conference Record, pp. 130–134 (1991)
3. Anthony, M., Bartlett, P.L.: Neural Network Learning: Theoretical Foundations. Cambridge University Press, Cambridge (1999)
4. Arora, R., Basu, A., Mianjy, P., Mukherjee, A.: Understanding deep neural networks with rectified linear units. In: International Conference on Learning Representations (2018)
5. Beiu, V., Taylor, J.G.: On the circuit complexity of sigmoid feedforward neural networks. Neural Netw. 9(7), 1155–1171 (1996)