Metaheuristics for the feedforward artificial neural network (ANN) architecture optimization problem AR Carvalho, FM Ramos, AA Chaves Neural Computing and Applications 20 (8), 1273-1284, 2011 | 87 | 2011 |
Modelling land use change in Brazil: 2000-2050 G Câmara, A Soterroni, F Ramos, A Carvalho, P Andrade, ... INPE, IPEA, IIASA, UNEP-WCMC, 2015 | 48 | 2015 |
Fuzzy ant colony optimization for estimating chlorophyll concentration profile in offshore sea water AR Carvalho, HF de Campos Velho, S Stephany, RP Souto, JC Becceneri, ... Inverse Problems in Science and Engineering 16 (6), 705-715, 2008 | 24 | 2008 |
Automatic configuration for neural network applied to atmospheric temperature profile identification SBM Sambatti, JA Anochi, EFP Luz, AR Carvalho, EH Shiguemori, ... 3rd International Conference on International Conference on Engineering …, 2012 | 14 | 2012 |
An operational dynamical neuro-forecasting model for hydrological disasters GRT de Lima, LBL Santos, TJ de Carvalho, AR Carvalho, FD Cortivo, ... Modeling Earth Systems and Environment 2, 1-9, 2016 | 8 | 2016 |
Neural network based models for the retrieval of methane concentration vertical profiles from remote sensing data AR Carvalho, JC Carvalho, EH Shiguemori, JDS Da Silva, FM Ramos Anais XIII Simposio Brasileiro de Sensoriamento Remoto. Florianopolis …, 2007 | 5 | 2007 |
Pesquisar na Web e critérios de avaliação da informação encontrada A Carvalho Textos de apoio. Braga: Instituto de Educação e Psicologia da Universidade …, 2002 | 5 | 2002 |
Uso de redes neurais otimizadas para recuperaçao do perfil de concentraçao de gases traços atmosféricos a partir de dados de satélites AR Carvalho D. Sc. thesis on Applied Computing–Instituto Nacional de Pesquisas Espaciais, 2011 | 4 | 2011 |
Mpca meta-heuristics for automatic architecture optimization of a supervised artificial neural network SBM Sambatti, JA Anochi, EFP Luz, AR Carvalho, EH Shiguemori, ... Proceedings… World Congress on Computational Mechanics 10, 2012 | 2 | 2012 |
Retrieval of carbon dioxide vertical concentration profiles from satellite data using artificial neural networks AR Carvalho, FM Ramos, JC Carvalho Trends in Computational and Applied Mathematics 11 (3), 205-216, 2010 | 2 | 2010 |
Identifing atmospheric pollutant sources using artificial neural networks FF Paes, HF Campos, EP Luz, AR Carvalho AGU Spring Meeting Abstracts 2008, A31A-17, 2008 | 2 | 2008 |
Automatic test case generation through a collaborative web application AO Arantes, NL Vijaykumar, VA Santiago, AR Carvalho IASTED International Conference on Internet and Multimedia Systems and …, 2008 | 2 | 2008 |
Estimating the Impact of Climate Change on Brazil's Soy Production MT Zilli, MDC Scarabello, A Soterroni, A Mosnier, H Valin, A Carvalho, ... AGU Fall Meeting Abstracts 2018, GC34B-03, 2018 | | 2018 |
Comparação entre uma neuroprevisão (empírica) e um modelo físico simplificado para estimação hidrológica LBL Santos, OA Candido, GRT Lima, AR Carvalho, T Carvalho Proceeding Series of the Brazilian Society of Computational and Applied …, 2018 | | 2018 |
Analise da distribuição de falhas em estações hidrológicas OA Candido, LBL Santos, AR Carvalho, GRT Lima, SV Carvalho Proceeding Series of the Brazilian Society of Computational and Applied …, 2018 | | 2018 |
Automatic configuration for neural network applied to atmospheric temperature profile identification SBM Sambatti, JA Anochi, EFP Luz, AR Carvalho, EH Shiguemori, ... International Conference on Engineering Optimization (EngOpt)., 2012 | | 2012 |
Alves, F.(2000). Painel “Alternativa à competição, Novos Desafios”. Actas: A recreacção e lazer da população com necessidades especiais. Faculdade de Ciências do Desporto e de … A Carvalho, CMT Desportivo, II Série Deficiência Mental e Coordenação Motora 37, 49, 2005 | | 2005 |
Characterizing complex variability in ECG signals using DFA JM Guerra, AR Carvalho, RR Rosa | | |
RETRIEVAL OF CARBON DIOXIDE VERTICAL CONCENTRATION PROFILES FROM SCIAMACHY DATA USING ARTIFICIAL NEURAL NETWORKS AR Carvalho, FM Ramos, JC Carvalho | | |
Implementação de meta-heurísticas para o problema da otimização de arquitetura de redes neurais artificiais do tipo feedforward. AR Carvalho, FM Ramos, AA Chaves | | |