Description Details Author(s) References
Implementation of an incremental model construction method called IBHM which stands for Incrementally Built Heterogeneous Model. The method is designed for solving real-number approximation problems in a highly automated fashion and should be considered one of black-box modelling approaches such as Artificial Neural Networks or Support Vector Machines.
Package: | IBHM |
Type: | Package |
Version: | 1.0 |
Date: | 2013-03-21 |
License: | GPL (>= 2) |
The package may be used to produce small, robust computational models using real valued empirical data. The most important functions are TrainIBHM
which constructs an IBHM model and ConfigureIBHM
which sets the methods parameters.
Pawel Zawistowski
Maintainer: Pawel Zawistowski <dratewka@gmail.com>
Zawistowski, P. and Arabas, J.: "Benchmarking IBHM method using NN3 competition dataset." In Proc. 6th int. conf. on Hybrid artificial intelligent systems - Vol. 1, HAIS'11, pp 263–270, 2011. Springer-Verlag.
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