Estimation of the Yield of Coking Products by a Neural-Network Model


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Abstract

Mathematical analysis of experimental data regarding the quality of coal and coal concentrates and the yield of coking products provides the basis for neural-network models capable of predicting product yields. The predictions are compared with results obtained by traditional calculation and with production data for the yield of coking products.

About the authors

E. V. Vasileva

Gorbachev Kuznetsk Basin State Technical University

Author for correspondence.
Email: kleossa@yandex.ru
Russian Federation, Kemerovo

V. S. Doroganov

Gorbachev Kuznetsk Basin State Technical University

Author for correspondence.
Email: DoroganovV@mail.ru
Russian Federation, Kemerovo

A. B. Piletskaya

Gorbachev Kuznetsk Basin State Technical University

Author for correspondence.
Email: piletsana@gmail.com
Russian Federation, Kemerovo

T. G. Cherkasova

Gorbachev Kuznetsk Basin State Technical University

Author for correspondence.
Email: ctg.htnv@kuzstu.ru
Russian Federation, Kemerovo

A. G. Pimonov

Gorbachev Kuznetsk Basin State Technical University

Email: kea2949@mail.ru
Russian Federation, Kemerovo

N. G. Kolmakov

PAO Koks

Email: kea2949@mail.ru
Russian Federation, Kemerovo

S. P. Subbotin

Gorbachev Kuznetsk Basin State Technical University; PAO Koks

Author for correspondence.
Email: sybbotin@mail.ru
Russian Federation, Kemerovo; Kemerovo

A. V. Nevedrov

Gorbachev Kuznetsk Basin State Technical University

Author for correspondence.
Email: nevedrov1978@rambler.ru
Russian Federation, Kemerovo

A. V. Papin

Gorbachev Kuznetsk Basin State Technical University

Author for correspondence.
Email: papinandrey@rambler.ru
Russian Federation, Kemerovo

E. A. Koshelev

Gorbachev Kuznetsk Basin State Technical University

Author for correspondence.
Email: kea2949@mail.ru
Russian Federation, Kemerovo


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