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Group method of data handling (GMDH) is a family of inductive algorithms for computer-based mathematical modeling of multi-parametric datasets that features fully ...
Alexey Ivakhnenko (Ukrainian: Олексíй Григо́рович Іва́хненко; 30 March 1913 – 16 October 2007) was a Soviet and Ukrainian mathematician most famous for developing the group method of data handling (GMDH), a method of inductive statistical learning, for which he is considered as one of the founders of deep learning.
Group method of data handling, a method to train arbitrarily deep neural networks was published by Alexey Ivakhnenko and Lapa in 1967, which they regarded as a form of polynomial regression, [19] or a generalization of Rosenblatt's perceptron. [20] A 1971 paper described a deep network with eight layers trained by this method. [21]
In science and engineering, the terms data processing and information systems are considered too broad, and the term data processing is typically used for the initial stage followed by a data analysis in the second stage of the overall data handling. Data analysis uses specialized algorithms and statistical calculations that are less often ...
Multiplicative operations within artificial neural networks had been studied under the names of Group Method of Data Handling (1965) [11] [12] (where Kolmogorov-Gabor polynomials implement multiplicative units or "gates" [13]), higher-order neural networks, [14] multiplication units, [15] sigma-pi units, [16] fast weight controllers, [17] and ...
Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making. [ 1 ] Concept
Data collection and validation consist of four steps when it involves taking a census and seven steps when it involves sampling. [3] A formal data collection process is necessary, as it ensures that the data gathered are both defined and accurate. This way, subsequent decisions based on arguments embodied in the findings are made using valid ...
A Group Method of Data Handling -type network, combined with a genetic algorithm, was used to predict the metabolizable energy of feather meal and poultry offal meal based on protein, fat, and ash content. Data samples from published literature were collected and used to train a GMDH-type network model.