Neural network applications to reservoirs: Physics-based models and data models

The THash scheme is based on a triple hash method that uses the standard DHT put/get semantics for publishing and searching resources. The triple hash method in THash adheres with

I Under the assumptions of Theorem, the stationary solution of the CHARME(∞) model can be represented as a causal Bernoulli shift (see [2]). Moreover, this solution

In this study, artificial neural network model was developed for predicting the oral acute toxicity on rats of a series of 77 herbicides based on their molecular structure,

Secondly, the method that I applied in this ex- periments is relatively classic methods (feature extraction, classification), as the previous research approve that deep neural

Performance of the model in predicting drowsiness level with the testing dataset: mean square error (MSE), standard deviation (STD), according to whether dataset is used with (1)

This method has been implemented using the USPTO Patent Database, with a comparative study of two Neural Networks: a Wide and Deep Neural Network and a Recurrent Neural Network,

We also discuss new developments and new ideas in this area, in particular how ANNs can be used to model high-dimensional discrete and continuous data to deal with the curse

B. Parameters influencing the behavior of the PV panel To compare our model a more to reality, it is necessary to study how certain parameters such as the