In this paper, we apply modeling methods, including geometric modeling, fractal modeling and geodynamic modeling, to study the complex geometry and mineralization mechanism of the Chehugou porphyry deposit.
There is a need for improved paleoclimate models, improved paleoclimate proxy and species paleodistribution data for model validation, attention to scale issues, and rigorous modeling methods including mechanistic models.
There are many models discussed in the literature for prediction of the product properties however, nonlinear modeling methods including artificial neural networks (ANNs) and fuzzy models have shown better performance.
Part of that improvement is due to modeling methods, including InVEST, as well as to greater numbers of ecological studies, and part is due to improvements in the data, says Polasky.
The main characterizing methods include modeling output of renewables and modeling their predicted errors.
These methods include computer modeling.
These methods include ray tracing [89, 90], experimental measurements [28, 91, 92], simplified functional modeling [93, 94], photon tracing [95] and Monte Carlo ray tracing methods [96 99].
Other methods include food deprivation.
Such methods include zooming out.
There are also authors who argue that though some aspects of culture can be studied scientifically, other aspects are beyond the reach of scientific methods, including modeling (cf. (Fracchia J and Lewontin RC 1999; Peña A 1999)).
