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- Title
A mesterséges intelligenciárA épülő eljárások ELMÉLETI ALAPJAI.
- Authors
SÁNDOR, MOLNÁR
- Abstract
This article provides a review of the mainstream methods of artificial intelligence, machine learning and classification algorithms which are applicable in precision agriculture. The basic concepts of data mining, machine learning and deep learning are presented. The theoretical structure and building elements of artificial neural networks are then introduced and some mainstream approaches are reviewed, including general regression neural networks (GRNN), multilayer perceptron networks (MLPNN) and radial base function neural networks (RBFNN). Following these some classification methods used in data mining are presented in the article including wavelet analysis and the new method of hierarchical cluster analysis.
- Publication
Animal Breeding & Feeding / Állattenyésztés és Takarmányozás, 2019, Vol 68, Issue 3, p195
- ISSN
0230-1814
- Publication type
Article