Exploring Group method of data handling


Image Recognition

ARTICLE SOURCE

The group method of data handling (GMDH) is a family of inductive methods for computer-based mathematical modelling of multi-parametric datasets with completely automatic structural and parametric model optimization. Using inductive GMDH algorithms allows for automatically discovering data correlations, choosing a model's or network's most efficient architecture, and improving current algorithms' precision. Data HandlingGroup Method of Data Handling is a group of algorithms that can be used to solve different tasks. Benefits:The optimal complexity of the model structure is discovered, which is appropriate for the noise level in the data sample. The method obtains information directly from a data sample and reduces the influence of prior author assumptions about modelling results.