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Listar por palabra clave "Multilayer perceptron"

Mostrando ítems 1-9 de 9

Artificial neural network approach for forecasting nitrogen oxides concentrations

Capilla Romá, Carmen Amparo (Mary Ann Liebert, 2015-09-01)

This paper presents the application of feed-forward multilayer perceptron networks to forecast hourly nitrogen oxides levels 24 hours in advance. Input data were meteorological variables, average hourly traffic and nitrogen ...
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 ...
Emisión Acústica y Redes Neuronales para Modelado y Caracterización del Proceso de Soldadura por Fricción Agitación

Jiménez Macías, Emilio; Sánchez Roca, Ángel; Carvajal Fals, Hipólito; Blanco Fernández, Julio; Sáenz-Díez Muro, Juan C. (Universitat Politècnica de València, 2013-10-13)

[ES] En esta investigación se realiza un análisis para el modelado y la caracterización de los parámetros del proceso de soldadura por fricción agitación (FSW) a partir de las señales vibro-acústicas generadas por el ...
Human-Centric AI for Trustworthy IoT Systems With Explainable Multilayer Perceptrons

García-Magariño, Iván; Muttukrishnan, Rajarajan; Lloret, Jaime (Institute of Electrical and Electronics Engineers, 2019-08-26)

[EN] Internet of Things (IoT) widely use analysis of data with artificial intelligence (AI) techniques in order to learn from user actions, support decisions, track relevant aspects of the user, and notify certain events ...
Identification of Individual Glandular Regions Using LCWT and Machine Learning Techniques

García-Pardo, José Gabriel; Colomer, Adrián; Naranjo Ornedo, Valeriana; Peñaranda, Francisco; Sales, María Ángeles (Springer, 2018-11-09)

A new approach for the segmentation of gland units in histological images is proposed with the aim of contributing to the improvement of the prostate cancer diagnosis. Clustering methods on several colour spaces are applied ...
Improving offline handwritten text recognition with hybrid HMM/ANN models

España Boquera, Salvador; Castro-Bleda, Maria Jose; Gorbe Moya, Jorge; Zamora Martínez, Francisco Julián (Institute of Electrical and Electronics Engineers (IEEE), 2011-04)

This paper proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural Network (ANN) models for recognizing unconstrained offline handwritten texts. The structural part of the optical models has been modeled ...
Multilayer perceptron and regression modelling to forecast hourly nitrogen dioxide concentrations

Capilla, Carmen (WIT Press, 2014)

This paper presents the application of feed-forward multilayer perceptron networks and multiple regression models, to forecast hourly nitrogen dioxide levels 24 hours in advance. Input data are traffic and meteorological ...
Prediction of Postpartum Depression Using Multilayer Perceptrons and Pruning

Tortajada, S.; Garcia-Gomez, Juan M; Vicente, J.; Sanjuán, J.; de Frutos, R.; Martín-Santos, R.; García-Esteve, L.; Gornemann, I.; Gutiérrez-Zotes, A.; Canellas, F.; Carracedo, A.; Gratacos, M.; Guillamat, R.; Baca-García, E.; Robles Viejo, Montserrat (Schattauer GmbH (Methods of Information in Medicine), 2009)

[EN] Objective: The main goal of this paper is to obtain a classification model based on feed-forward multilayer perceptrons in order to improve postpartum depression prediction during the 32 weeks after childbirth with a ...
Supervised machine learning models for leak detection in water distribution systems

Basnet, Lochan; Ranjithan, Ranji; Brill, Downey; Mahinthakumar, Kumar (Editorial Universitat Politècnica de València, 2024-03-06)

[EN] Water distribution systems (WDSs) face a significant challenge in the form of pipe leaks. Pipe leaks can cause loss of a large amount of treated water, leading to pressure loss, increased energy costs, and contamination ...