Group method of data handling
Group method of data handling (GMDH) is a family of inductive algorithms for computer-based mathematical modeling of multi-parametric datasets that features fully automatic structural and parametric optimization of models. GMDH is used in such fields as data mining, knowledge discovery, prediction, complex systems modeling, optimization and pattern recognition. GMDH algorithms are characterized by inductive procedure that performs sorting-out of gradually complicated polynomial models and selecting the best solution by means of the so-called external criterion.
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Group method of data handling
Group method of data handling (GMDH) is a family of inductive algorithms for computer-based mathematical modeling of multi-parametric datasets that features fully automatic structural and parametric optimization of models. GMDH is used in such fields as data mining, knowledge discovery, prediction, complex systems modeling, optimization and pattern recognition. GMDH algorithms are characterized by inductive procedure that performs sorting-out of gradually complicated polynomial models and selecting the best solution by means of the so-called external criterion.
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Group method of data handling ...... neural nets as early as 1971.
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Método de grupo para manejo de ...... r redes neuronales ocho-capas.
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Метод группового учёта аргумен ...... Алексей Григорьевич Ивахненко.
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Group method of data handling ...... so-called external criterion.
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Método de grupo para manejo de ...... nentes de la función base (1):
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Метод группового учёта аргумен ...... Алексей Григорьевич Ивахненко.
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Group method of data handling
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Método de agrupamiento para el manejo de datos
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Метод группового учёта аргументов
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