|
KMID : 0903619980390060854
|
|
Journal of the Korean Society for Horticultural Science
1998 Volume.39 No. 6 p.854 ~ p.857
|
|
|
Modeling for Estimation or Transpiration and Photosynthesis Rates of Pachira Accorign to Environmental Changes Using Neural Network
|
|
|
|
|
Abstract
|
|
|
|
Neural network as an artificial intelligence technology was applied to develop an estimation model of transpiration and photosynthesis rate of Pachira aquatica under the changes of several environmental factors. In this study, temperature, CO₂ concentration, light intensity and humidity were used as input variables, and transpiration and photosynthesis rates were used as output variables. The experimental results in which 2 hidden layers with 7 nodes in each layer and back propagation algorithm technique were adapted after 10,000 learning cycles showed that the trained neural network model well reflected the real transpiration and photosynthesis rates according to the changes of environments in Pachira foliage plant.
|
|
|
KEYWORD
|
|
|
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|