IDA - Intelligent Data Analysis Research Group

BibTeX Entry

@inproceedings{__111,
  category = {ida-publications},
  author = {Petr Buryan},
  title = {Enhanced MIA GMDH algorithm},
  booktitle = {Proceedings of International Workshop on Inductive Modeling},
  year = {2007},
  url = {www.gmdh.net/articles/iwim/IWIM_21.pdf},
  keywords = {Inductive modelling, GMDH algorithm, time series prediction, self-organizing polynomial networks},
  abstract = {The paper presents a new methodology which is an enhancement of MIA algorithm of self-organizing polynomial Group Method of Data Handling (GMDH). Classical MIA algorithm suffers mainly by quick loss of the layer diversity resulting in almost homogenous layer output which strongly prohibits reaching any improvement in the next layers of the network and has negative impacts on the stability of transfer functions of the nodes (gained by least mean squares method). The impact is mainly non-stable behaviour and loss in quality of the output of the model as a whole. Several specific improved features were therefore applied in order to improve the behaviour of the algorithm. The enhancements described bellow are mainly semi-randomized selection approach to layer pruning, coefficient rounding and thresholding schemes. The usefulness of proposed enhancements is supported by experimental results of time series analyses.},
  vvvs = {0},
  projnum = {12-05001/13133},
  projects = {ML/BIO},
}


Creative Commons License  Content on this site is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Czech Republic License.