Tatiana Timoshina Lukianova De Poznyak

Researcher

  • Fuente: Scopus
  • Se calcula con base en el n.º de publicaciones almacenadas en Pure y citas de Scopus
1972 …2020

Resultados de investigaciones por año

Si hizo algún cambio en Pure, pronto podrá verlo aquí.
Filtro
Contribución a la conferencia

Resultados de la búsqueda

  • 2019

    Projectional Learning Laws for Differential Neural Networks Based on Double-Averaged Sub-Gradient Descent Technique

    Chairez, I., Poznyak, A., Nazin, A. & Poznyak, T., 1 ene 2019, Projectional Learning Laws for Differential Neural Networks Based on Double-Averaged Sub-Gradient Descent Technique. p. 28-38 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11554 LNCS).

    Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

  • 2018

    Residence time regulation in chemical processes: Local optimal control realization by differential neural networks

    Poznyak, T., Chairez, I. & Poznyak, A., 1 ene 2018, Residence time regulation in chemical processes: Local optimal control realization by differential neural networks. p. 745-756 669 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10878 LNCS).

    Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia

  • 2009

    Partial differential equations numerical modeling using dynamic neural networks

    Fuentes, R., Poznyak, A., Chairez, I. & Poznyak, T., 27 nov 2009, Partial differential equations numerical modeling using dynamic neural networks. p. 552-562 495 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5769 LNCS).

    Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferencia