Publicaciones en las que colabora con Pablo Díaz Rodríguez (16)

2015

  1. Application of artificial neural networks as a tool for moisture prediction in microbially colonized halite in the Atacama Desert

    Journal of Geophysical Research G: Biogeosciences, Vol. 120, Núm. 6, pp. 1018-1026

  2. Conductivity of ionic liquids: A neural network approach

    Industrial and Engineering Chemistry Research, Vol. 54, Núm. 1, pp. 55-58

  3. Inputting molecular weights into a multilayer perceptron to estimate refractive indices of dialkylimidazolium-based ionic liquids - A purity evaluation

    Applied Soft Computing Journal, Vol. 28, pp. 394-399

  4. Non-linear models applied to experimental spectroscopical quantitative analysis of aqueous ternary mixtures of imidazolium and pyridinium-based ionic liquids

    Sensors and Actuators, B: Chemical, Vol. 206, pp. 139-145

  5. The accurate estimation of physicochemical properties of ternary mixtures containing ionic liquids via artificial neural networks

    Physical Chemistry Chemical Physics, Vol. 17, Núm. 6, pp. 4533-4537

  6. Viscosity estimation of binary mixtures of ionic liquids through a multi-layer perceptron model

    Journal of Industrial and Engineering Chemistry, Vol. 21, pp. 1350-1353

2014

  1. Artificial neural networks applied to fluorescence studies for accurate determination of N-butylpyridinium chloride concentration in aqueous solution

    Sensors and Actuators, B: Chemical, Vol. 198, pp. 173-179

  2. Determination of physicochemical properties of pyridinium-based ionic liquid binary mixtures with a common component through neural networks

    Industrial and Engineering Chemistry Research, Vol. 53, Núm. 2, pp. 1015-1019

  3. Estimation of the refractive indices of imidazolium-based ionic liquids using their polarisability values

    Physical Chemistry Chemical Physics, Vol. 16, Núm. 1, pp. 128-134

  4. Linking chemical parameters to sensory panel results through neural networks to distinguish olive oil quality

    Journal of Agricultural and Food Chemistry, Vol. 62, Núm. 44, pp. 10661-10665

  5. Study of the physicochemical properties of ternary mixtures through artificial neural networks

    21st International Congress of Chemical and Process Engineering, CHISA 2014 and 17th Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, PRES 2014

  6. Volatile organic compound detection with FET sensors and neural network data processing as a preliminary step to early lung cancer diagnosis

    NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications

2013

  1. Estimation with neural networks of the water content in imidazolium-based ionic liquids using their experimental density and viscosity values

    Talanta, Vol. 113, pp. 93-98

  2. Neural network models to classify olive oils within the protected denomination of origin framework

    International Journal of Food Science and Technology, Vol. 48, Núm. 12, pp. 2528-2534

  3. Neural networks to estimate the water content of imidazolium-based ionic liquids using their refractive indices

    Talanta, Vol. 116, pp. 122-126

  4. Self-organizing maps based on chaotic parameters to detect adulterations of extra virgin olive oil with inferior edible oils

    Journal of Food Engineering, Vol. 118, Núm. 4, pp. 400-405