Artificial neural networks in modeling of environmental time series for yerba-mate growth dynamics
Keywords: backpropagation algorithm, multilayer perceptron, shoot elongation, temperature
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.
4A Structural development of plants and light environment
Authors who publish with this proceedings volume agree to the following terms:
- Authors retain copyright and grant the Conference organisers right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this proceedings volume.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the proceeding's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this proceedings volume.