Abstract In this work, we propose using the mixture density network (MDN) to estimate cosmological parameters. We test MDN method by constraining parameters of ΛCDM and w CDM models Type Ia supernovae power spectra cosmic microwave background. find that can achieve same level accuracy as Markov Chain Monte Carlo method, with a slight difference <mml:...

this study investigates the correlations among the tensile strength, mineral composition, and textural features of twenty-ninesandstones from kouzestan province. the regression analyses as well as artificial neural network (ann) are also applied to evaluatethe correlations. the results of simple regression analyses show no correlation between mineralogical features and tensile strength.however,...

Conditional density estimation (CDE) is the task of estimating probability an event conditioned on some inputs. A neural network (NN) can also be used to compute output distribution for continuous-domain, which viewed as extension regression task. Nevertheless, it difficult explicitly approximate a without knowing information its general form priori. In order fit arbitrary conditional distribut...

With the datasets of density distributions calculated by Skyrme functional theories, we elaborated deep neural networks to generate profile and provide a table related hyperparameters set for similar applications other structural models. In process machine learning with objective/target functions that normalized mean square error Kullback–Leibler divergence (cross entropy), there is turning poi...

an artificial neural network (ann) was used to analyse the capillary rise in porous media. wetting experiments were performed with fifteen liquids and fifteen different powders. the liquids covered a wide range  of  surface  tension ( 15.45-71.99  mj/m2 )  and  viscosity (0.25-21 mpa.s). the powders also provided an acceptable range of particle size (0.012-45 μm) and surface free energy (25.54-...

Roasting is among the most common methods of nut processing causing physical and chemical changes and ultimately increasing overall acceptance of the product. In this research, the effects of temperature (90, 120 ,and 150°C), time (20, 35 ,and 50 min) ,and roasting air velocity (0.5, 1.5 ,and 2.5 m/s) on gravimetrical properties of pistachio nuts and kernels including unit mass, true density, o...