… For mountaineous and suburban scenarios, where the environment is complex and difficult
to … (BP) neural network which is the most widely used artificial neural network (ANN), is …

… , the aforementioned layover and shadowing in urban environment acquisitions, as well as
the … Moreover, in a suburb environment, where built-up areas alternate with more or less wide …

… error predicted by the neural network is added to the computed value by CWI model, in order
to obtain the corrected path loss. In both cases, urban and suburban environment, we have …

… on water quality and the environment, especially on aquatic … and its impact on the
environment largely depend on the … studies have applied artificial neural network (ANN) methods …

… : urban and rural, due to the classification limitation of the material data sets (ie, TOAR
observations and GPW populations), but we schedule to include more categories like suburban …

… by BSA in the 4G cellular networks is studied using artificial neural networks (ANN). The
EEM in urban environment is reconstructed from sensor networks, drive testing, and information …

Artificial neural network (ANN) modeling has been performed to predict turbulent boundary
layer characteristics for rough terrain based on experimental tests conducted in a boundary-…

… The statistical model used in this study is an artificial neural network. It is based on the use
of a non-linear parametric regression named Multi Layer Perceptron (MLP). This statistical …

… When the neural networks approaches are applied, how satellite images acquired in …
suburban/rural areas) remains to be answered. In this paper, an SOM and an MLP neural network …

… relating to the acoustic environment.Soundscape studies have been paid more and more
attention in both physical and aesthetic qualities of an environment.Soundscape is also becom…