Artificial neural networks in modeling of environmental time series for yerba-mate growth dynamics
Fabio Takeshi Matsunaga, Miroslava Rakočević, Jacques Duílio Brancher · 2013
The artificial neural networks (ANN) are a solution to model the nonlinear systems. The monthly mean values of environmental and morphological data were used to build time series related to yerba-mate growth. Time series and data relative to rhythmic growth were used for ANN training. The final results of this FSPM are yerba-mate mock-ups, related to two particular environmental conditions.