1 publication

• Published Subscription 12 Jul 2021

  Study and Developing of Diversity Generation Methods in Heretogeneous Ensemble Models

  By S. V. Gorbachev, A. E. Arkhipov, N. N. Gorbacheva, S. Bhattacharyya, Jinde Cao, Sandip A. Kale

  Abstract: The article deals with the fundamental problem of generating a diversity of ensemble predictive models. Various approaches to ensemble diversity are described based on varying the input data set, varying the models used in the ensemble, varying within the model itself, and varying the way the results of the ensemble members are combined. A hybrid method for constructing a heterogeneous ensemble based on various types of neuro-fuzzy networks with a …

  Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 8–15 Read article →