Neural network modeling of resilient modulus and permanent deformation of aggregate materials

Since the literature has reported different behaviors of materials against biogenic acid attack in sewer networks as a function of the nature of the aggregates [18,19,28–34],

Indeed, trips are built by a spatial behavior de- pending of the individual goal of each vessel (supply and demand port locations – economic features) and their given

In this paper we described our experience in creating and training a neural net- work for predicting the critical frequency foF2 using data obtained at Irkutsk with the DPS4

Previously it would create a packet using the remaining 10 energy it has and send that via a successor link, instead; before it creates a new packet it will merge

8 shows the prediction intervals for the scale rate values in the test dataset obtained by the trained NN with 10 hidden neurons and corresponding to a Pareto

The OPA model seeks to faithfully describe the dynamics of the power flows during the evolution of the cascading failure, by explicitly incorporating the standard DC power flow

By analogy with spin glasses it is believed, for neural networks, that the true replica broken solution removes the reentrant phase and increases ac(TM) below the replica

It is not a problem if the contact person is not totally familiar with the topic 6 , but he/she must indicate the stakeholders having the most diverse opinions possible for each