Predicting the resilient modulus of unbound granular materials by neural networks

It is shown that a temperature dependent modulus defect in reasonable agreement with experiment can be obtained by calculating the thermal ly averaged displacement 5 for

The second goal of this thesis is to contribute to the design of a mixed hardware-software platform (PAX), specifically designed to simulate spiking neural networks. The tasks

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

- as mentioned above, the tools of statistical physics can be used to analyze and predict the behaviour of large assemblies of formal neurons; one may in particular investigate the

The contribution of these five attributes was examined by creating 6 models and comparing the results of each model with the results of the same model when the entire attribute

In geostatistical applications, a sample (or in other words experimental) variogram is calculated using the given data and then a function is fitted to it. This function

To study the Cish/ PLC-γ1 interaction in resting and stimulated T cells we transduced activated Cish KO CD8 + T cells with retroviral N-terminal FLAG-tagged construct expressing

Dans tous les cas, cependant, il s’avère que pour fabriquer cette entité didactique que constitue un « document authentique » sonore, on ne peut qu’occulter sa