The Construction of the Approximate Solution of the Chemical Reactor Problem Using the Feedforward Multilayer Neural Network

Author:

Tarkhov Dmitriy A.ORCID,Vasilyev Alexander N.ORCID

Publisher

Springer International Publishing

Reference14 articles.

1. Tarkhov, D., Vasilyev, A.: New neural network technique to the numerical solution of mathematical physics problems. I Simple Probl. Opt. Mem. Neural Netw. (Inf. Opt.) 14, 59–72 (2005)

2. Tarkhov, D., Vasilyev, A.: New neural network technique to the numerical solution of mathematical physics problems. II Complicated Nonstand. Probl. Opt. Mem. Neural Netw. (Inf. Opt.) 14, 97–122 (2005)

3. Shemyakina, T.A., Tarkhov, D.A., Vasilyev, A.N.: neural network technique for processes modeling in porous catalyst and chemical reactor. In: Cheng, L. et al. (eds.) Advances in Neural Networks – ISNN 2016. Lecture Notes in Computer Science, vol. 9719, pp. 547–554. Springer, Cham (2016)

4. Budkina, E.M., Kuznetsov, E.B., Lazovskaya, T.V., Leonov, S.S., Tarkhov, D.A., Vasilyev, A.N.: Neural network technique in boundary value problems for ordinary differential equations. In: Cheng, L. et al. (eds.) Advances in Neural Networks – ISNN 2016. Lecture Notes in Computer Science, vol. 9719, pp. 277–283. Springer, Cham (2016)

5. Lozhkina, O., Lozhkin, V., Nevmerzhitsky, N., Tarkhov, D., Vasilyev, A.: Motor transport related harmful PM2.5 and PM10: from on-road measurements to the modeling of air pollution by neural network approach on street and urban level. In: Journal of Physics Conference Series, vol. 772 (2016). http://iopscience.iop.org/article/10.1088/1742-6596/772/1/012031

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