GMDHreg: Regression using GMDH Algorithms

Regression using GMDH algorithms from Prof. Alexey G. Ivakhnenko. Group Method of Data Handling (GMDH), or polynomial neural networks, is a family of inductive algorithms that performs gradually complicated polynomial models and selecting the best solution by an external criterion. In other words, inductive GMDH algorithms give possibility finding automatically interrelations in data, and selecting an optimal structure of model or network. The package includes GMDH Combinatorial, GMDH MIA (Multilayered Iterative Algorithm), GMDH GIA (Generalized Iterative Algorithm) and GMDH Combinatorial with Active Neurons.

Package details

AuthorManuel Villacorta Tilve
MaintainerManuel Villacorta Tilve <mvt.oviedo@gmail.com>
LicenseGPL-3
Version0.2.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GMDHreg")

Try the GMDHreg package in your browser

Any scripts or data that you put into this service are public.

GMDHreg documentation built on July 5, 2021, 5:09 p.m.