| Name : R-GMDHreg
| |
| Version : 0.2.3
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.4
| Date : 2024-06-14 11:00:37
|
| Group : Development/Libraries/Other
| Source RPM : R-GMDHreg-0.2.3-lp153.1.4.src.rpm
|
| Size : 0.15 MB
| |
| Packager : (none)
| |
| Summary : Regression using GMDH Algorithms
|
Description :
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.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
