NONLINEAR MULTI-REGRESSION MODEL OF STOMATAL CONDUCTANCE USING NEURAL NETWORK
Shin-ichi MATSUMOTO, Hiroshi YOSHINO, Muneshige NAGATOMO, Tsutomu SAKANISHI, Mitsuo NOSE · Journal of Architecture and Planning (Transactions of AIJ) · 1996
In the conventional expression of experimental stomatal conductance, the assumption of separation of variables should be admitted without any validation of it. In this paper, we adopt the neural network for making the experimental expression. It becomes clear that the neural network has the capability in expressing the experimental data with excellent accuracy than in the conventional method.