1. Sheikhpour, R., Sarram, A., Rezaeian, M., Sheikhpour, E.: QSAR modelling using combined simple competitive learning networks and RBF neural networks. Int. SAR and QSAR Environ. Res. 29, 257–276 (2018)
2. Ghasemi, F., Mehridehnavi, A., Perez-Garrido, A., Perez-Sanchez, H.: Neural network and deep-learning algorithms used in QSAR studies: merits and drawbacks. Int. Drag disc. Today. 23(10), 1784–1790 (2018)
3. Goh, G., Hodas, N., Siegel, C., Vishnu, A.: An interpretable general-purpose deep neural network for predicting chemical properties. In: Proceedings of ACM SIGKDD Conference, pp. 1–8 (2018)
4. Tüzün, B., Yavuz, S., Sarıpınar, E.: 4D-QSAR analysis and pharmacophore modeling: propoxy methylphenyl oxasiazole derivatives by electron conformatitional-genetic algorithm method. Int. J. Phys. Theor. Chem. 14(2), 139–164 (2018)
5. Saeedizadeh, F., Moghaddam, R. Optimal control of HIV stochastic model through genetic algorithm. In: Proceedings of 7th International Conference on Computer and Knowledge Engineering, pp. 401–405 (2017)