Experiments with the use of a rule-based self-organising controller for robotics applications R Tanscheit, EM Scharf Fuzzy sets and systems 26 (2), 195-214, 1988 | 184 | 1988 |
Conceitos fundamentais da teoria de conjuntos fuzzy, lógica fuzzy e aplicações F Gomide, RR Gudwin, R Tanscheit Proc. 6 th IFSA Congress-Tutorials 59, 1-38, 1995 | 143 | 1995 |
Sistemas fuzzy R Tanscheit Departamento de Engenharia Elétrica, Pontifícia Universidade Católica do Rio …, 2004 | 123 | 2004 |
PSO+: A new particle swarm optimization algorithm for constrained problems M Kohler, MMBR Vellasco, R Tanscheit Applied Soft Computing 85, 105865, 2019 | 100 | 2019 |
Inteligência Computacional aplicada a administração, economia e engenharia em Matlab HA OLIVEIRA JR, AM Caldeira, MAS MACHADO, R Souza, R Tanscheit Rio de Janeiro, Thompson, 2007 | 84 | 2007 |
Quantum inspired evolutionary algorithm for ordering problems LR da Silveira, R Tanscheit, MMBR Vellasco Expert Systems with Applications 67, 71-83, 2017 | 54 | 2017 |
Fuzzy rule extraction from support vector machines ACF Chaves, MMBR Vellasco, R Tanscheit Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 6 pp., 2005 | 54 | 2005 |
Maximum-likelihood data fusion of phase-difference and threshold-detection techniques for wind-speed measurement JMM Villanueva, SYC Catunda, R Tanscheit IEEE Transactions on Instrumentation and Measurement 58 (7), 2189-2195, 2009 | 53 | 2009 |
Tuning PID controllers through genetic algorithms JM Amaral, R Tanscheit, MA Pacheco complex Syst 2 (3), 1-9, 2018 | 39 | 2018 |
A Neuro-fuzzy System for Fraud Detection in Electricity Distribution. C Muniz, MMBR Vellasco, R Tanscheit, K Figueiredo IFSA/EUSFLAT Conf., 1096-1101, 2009 | 39 | 2009 |
GPFIS-CLASS: A Genetic Fuzzy System based on Genetic Programming for classification problems AS Koshiyama, MMBR Vellasco, R Tanscheit Applied Soft Computing 37, 561-571, 2015 | 32 | 2015 |
Fuzzy rules extraction from support vector machines for multi-class classification A da Costa F. Chaves, MMBR Vellasco, R Tanscheit Neural Computing and Applications 22, 1571-1580, 2013 | 31* | 2013 |
EANN 2014: a fuzzy logic system trained by conjugate gradient methods for fault classification in a switch machine EP de Aguiar, FMA Nogueira, RPF Amaral, DF Fabri, SCA Rossignoli, ... Neural Computing and Applications 27, 1175-1189, 2016 | 29 | 2016 |
An immune inspired fault diagnosis system for analog circuits using wavelet signatures JLM Amaral, JFM Amaral, R Tanscheit, M Pacheco Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004., 138-141, 2004 | 29 | 2004 |
Fundamentos da lógica Fuzzy e controle Fuzzy R Tanscheit http//www. ica. ele. puc-rio. br, 2011 | 26 | 2011 |
Mental tasks classification for a noninvasive bci application AOG Barbosa, DRA Diaz, MMBR Vellasco, MA Meggiolaro, R Tanscheit Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009 | 26 | 2009 |
La Categoría precisión en la meta-evaluación: aspectos prácticos y teóricos en un nuevo enfoque AC Letichevsky, MMBR Vellasco, R Tanscheit, RC Souza Ensaio: avaliação e políticas públicas em educação 13, 255-268, 2005 | 23 | 2005 |
Towards evolvable analog artificial neural networks controllers JFM Amaral, JLM Amaral, C Santini, R Tanscheit, M Vellasco, M Pacheco Proceedings. 2004 NASA/DoD Conference on Evolvable Hardware, 2004., 46-52, 2004 | 20 | 2004 |
Real-valued negative selection algorithm with a quasi-monte carlo genetic detector generation JLM Amaral, JFM Amaral, R Tanscheit Artificial Immune Systems: 6th International Conference, ICARIS 2007, Santos …, 2007 | 19 | 2007 |
Modelagem e controle nebuloso R Tanscheit, F Gomide, MCM Teixeira, LA Aguirre Enciclopédia de Automática: Controle & Automaçao 3, 283-324, 2007 | 19 | 2007 |