Reveco Palacios, Jorge Andres(Universitat Politècnica de València, 2013-04-17)
[ES] La cocción por extrusión está siendo cada vez más utilizada en la
industria alimentaria, principalmente gracias a su versatilidad en la creación
de nuevos productos y a su eficiencia, tanto productiva como ...
The richness of native fish is considered to be an indicator of aquatic ecosystem health, and improving richness is a key goal in the management of river ecosystems. An artificial neural network (ANN) model based on field ...
[ES] Objetivo: Describir nuevas características de embriones capaces de predecir el potencial de implantación como datos de entrada para un modelo de red neuronal artificial (ANN).
Diseño: Estudio de cohorte ...
Inconsistent performance of Species Distribution Models (SDMs), which may depend on several factors such as the initial conditions or the applied modelling technique, is one of the greatest challenges in ecological modelling. ...
Torregrosa, A. J.; García-Cuevas González, Luis Miguel; Quintero-Igeño, Pedro-Manuel; Cremades-Botella, Andrés(Elsevier, 2021-08)
[EN] Aeroelastic Computational Fluid Dynamics simulations have traditionally been associated to a high computational cost, making them prohibitive in a initial phase of the design. Analytic models, which may not be accurate ...
An optimisation problem was formulated to maximise the amount of carrot dietary fibre (CDF) in a dry fermented sausage, while maintaining product quality, by using 0 12% CDF as the decision variable, and limiting values ...
A procedure for the determination of initial parameter values for quadratically convergent optimization methods is proposed using artificial neural networks coupled with a non-stationary gas-liquid reaction model. The ...
[EN] We compared a semi empirical and an empirical model. The empirical model is a multilayer ANN. The semi empirical model is a custom multilayer ANN. It is a structured model, and we define the structure by hand before ...
[EN] As part of the POWADIMA research project, this paper describes the technique used to predict
the consequences of different control settings on the performance of the water-distribution
network, in the context of ...