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Browsing by Subject "Artificial neural networks"

Now showing items 1-20 of 72

A comparison of artificial neural networks and random forests to predict native fish species richness in Mediterranean rivers

Olaya Marín, Esther Julia; Martinez-Capel, Francisco; Vezza, Paolo (EDP Sciences, 2013)

[EN] Machine learning (ML) techniques have become important to support decision making in management and conservation of freshwater aquatic ecosystems. Given the large number of ML techniques and to improve the ...
A phenomenological model for sonic crystals based on artificial neural networks

Fuster García, Elíes; Romero García, Vicente; Sánchez Pérez, Juan Vicente; García Raffi, Luis Miguel; Sánchez Pérez, Enrique Alfonso (Acoustical Society of America, 2006-08)

[EN] A phenomenological model that simulates the acoustic attenuation behavior of sonic crystals is developed in this paper. The input of the model is a set of parameters that characterizes each experimental setup, and ...
An artificial neural network approach to the estimation of stem water potential from frequency domain reflectometry soil moisture measurements and meteorological data

Martí Pérez, Pau Carles; Gasque Albalate, Maria; González Altozano, Pablo (Elsevier, 2013-02)

Stem water potential seems to be a sensitive measure of plant water status. Nonetheless, it is a labour-intensive measurement and is not suited for automatic irrigation scheduling or control. This study describes the ...
Análisis avazado de datos para predecir el éxito en trasplante de hígado

Garcés Iniesta, Juan José (Universitat Politècnica de València, 2014-06-06)

[ES] El objetivo del presente Trabajo consiste en realizar un análisis avanzado de datos sobre una población de estudio real, con la finalidad última de encontrar algún modelo predictivo capaz de pronosticar el éxito del ...
Análisis estadístico de la evolución de una red de menciones en Twitter

MANTILLA YANEZ, ROLANDO (Universitat Politècnica de València, 2016-07-04)

[EN] Two methods for mention distribution estimation in a network are proposed: one based on a mean stochastic matrix of a set of the graphs observed through time, and other based on Neural Network Analysis modelling. In ...
Ancillary data supply strategies for improvement of temperature-based ETo ANN models

Martí, Pau; Gasque Albalate, Maria (Elsevier, 2010-07)

[EN] The development of new and more precise models for reference evapotranspiration (ETo) estimation from minimum climatic data is mandatory, since the application of existing methods that provide acceptable results is ...
Aportaciones al modelado conexionista de lenguaje y su aplicación al reconocimiento de secuencias y traducción automática

Zamora Martínez, Francisco Julián (Universitat Politècnica de València, 2012-12-07)

El procesamiento del lenguaje natural es un área de aplicación de la inteligencia artificial, en particular, del reconocimiento de formas que estudia, entre otras cosas, incorporar información sintáctica (modelo de lenguaje) ...
Applying generalised feedforward neural networks to classifying industrial jobs in terms of risk of low back disorders

Asensio Cuesta, Sabina; Diego Más, José Antonio; Alcaide Marzal, Jorge (Elsevier, 2010)

[EN] This paper describes a new approach for the development of artificial neural networks applied to classifying the risk of low back disorders (LBDs) presented by certain lifting jobs. The development process of neural ...
Artificial neural networks for predicting dorsal pressures on the foot surface while walking

Rupérez Moreno, María José; Martín-Guerrero, J.D.; Monserrat Aranda, Carlos; Alcañiz Raya, Mariano Luis (Elsevier, 2012-04)

In this work, artificial neural networks (ANNs) are proposed to predict the dorsal pressure over the foot surface exerted by the shoe upper while walking. A model that is based on the multilayer perceptron (MLP) is used ...
Assesment of a 4-input artificial neural network for ETo etimation through data set scanning

Martí Pérez, Pau Carles; Manzano Juarez, Juan; Royuela, Alvaro (Springer Verlag (Germany), 2011-05)

Evapotranspiration is a complex and non-linear phenomenon that depends on the interaction of several climatic parameters. As an alternative to traditional techniques, artificial neural networks (ANNs) are highly appropriate ...
Assessment of Environmental Literacy

Dias, Alexandre; Figueiredo, Margarida; Chaves, Humberto; Neves, José; Vicente, Henrique (Editorial Universitat Politècnica de València, 2021-07-26)

[EN] Nowadays, the issues related with environment preservation assume an increasing importance. Progressively, more sustainable solutions/techniques are being developed to combat environmental destruction. The decision ...
Benign /malignant classifier of soft tissue tumors using MR imaging

Garcia-Gomez, Juan M; Vidal, César; Martí-Bonmatí, Luís; Galant, Joaquín; Sans, Nicolas; Robles Viejo, Montserrat; Casacuberta Nolla, Francisco (Springer-Verlag, 2004-03)

[EN] This article presents a pattern-recognition approach to the soft tissue tumors (STT) benign/malignant character diagnosis using magnetic resonance (MR) imaging applied to a large multicenter database. Objective: To ...
Can multilayer perceptron ensembles model the ecological niche of freshwater fish species?

Muñoz Mas, Rafael; Martinez-Capel, Francisco; Alcaraz-Hernández, Juan Diego; Mouton, A. M. (Elsevier, 2015-08-10)

The potential of Multilayer Perceptron (MLP) Ensembles to explore the ecology of freshwater fish specieswas tested by applying the technique to redfin barbel (Barbus haasi Mertens, 1925), an endemic and mon-tane species ...
Clasificación de vídeos mediante Redes Neuronales Artificiales

Jorge Cano, Javier (Universitat Politècnica de València, 2016-05-27)

[EN] Nowadays, the research on computer vision and machine learning is in its best moment. The computational capacity and communications currently available in any device, have risen new challenges. Among them, the task ...
Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods

Valbuena, R.; Maltamo, M.; Packalen, P. (Universitat Politècnica de València, 2016-02-26)

[EN] The area-based method has become a widespread approach in airborne laser scanning (ALS), being mainly employed for the estimation of continuous variables describing forest attributes: biomass, volume, density, etc. ...
Comparative Analysis of the Implementation of Support Vector Machines and Long Short-Term Memory Artificial Neural Networks in Municipal Solid Waste Management Models in Megacities

Solano-Meza, Johanna; Orjuela Yepes, David; Rodrigo-Ilarri, Javier; Rodrigo-Clavero, María-Elena (MDPI AG, 2023-02-27)

[EN] The development of methodologies to support decision-making in municipal solid waste (MSW) management processes is of great interest for municipal administrations. Artificial intelligence (AI) techniques provide ...
Comparative Evaluation of Classification Methods Used in the Fault Diagnosis of Industrial Processes

Moreno, A.P.; SANTIAGO, O. L.; de Lázaro, J. M. B.; García Moreno, Emilio (Institute of Electrical and Electronics Engineers (IEEE), 2013)

This article presents a comparative study of the performance of classification techniques used for fault diagnosis in industrial processes. The techniques studied ranging from classifiers based on Bayes theory as Maximum ...
Comparing energy consumption for rail transit routes through Symmetric Vertical Sinusoid Alignments (SVSA), and applying artificial neural networks. A case study of Metro Valencia (Spain)

Pineda-Jaramillo, Juan Diego; Salvador Zuriaga, Pablo; Insa Franco, Ricardo (Universidad Nacional de Colombia, 2017)

[ES] Este artículo presenta el entrenamiento de una red neuronal artificial usando el consumo energético medido en la red metropolitana de Valencia, España, para estimar el consumo energético de un sistema metro. Después ...
Comparison between artificial neural networks and Hermia's models to assess ultrafiltration performance

Corbatón Báguena, María José; Vincent Vela, Maria Cinta; Gozálvez-Zafrilla, José M.; Alvarez Blanco, Silvia; Lora-García, Jaime; Catalán Martínez, David (Elsevier, 2016-10-01)

In this work, flux decline during crossflow ultrafiltration of macromolecules with ceramic membranes has been modeled using artificial neural networks. The artificial neural network tested was the multilayer perceptron. ...
Consumer Neuroscience-Based Metrics Predict Recall, Liking and Viewing Rates in Online Advertising

Guixeres Provinciale, Jaime; Bigné-Alcañiz, Enrique; Ausin-Azofra, Jose Manuel; Alcañiz Raya, Mariano Luis; Colomer, Adrián; Fuentes-Hurtado, Félix José; Naranjo Ornedo, Valeriana (Frontiers Media SA, 2017-10-31)

[EN] The purpose of the present study is to investigate whether the effectiveness of a new ad on digital channels (YouTube) can be predicted by using neural networks and neuroscience-based metrics (brain response, heart ...