Ricardo Tanscheit
Ricardo Tanscheit
Professor do Depto. de Engenharia Elétrica, Pontifícia Universidade Católica do Rio de Janeiro
Verified email at ele.puc-rio.br
TitleCited byYear
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
1561988
Sistemas fuzzy
R Tanscheit
Departamento de Engenharia Elétrica, Pontifícia Universidade Católica do Rio …, 2004
912004
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
791995
Inteligência Computacional aplicada a administração, economia e engenharia em Matlab
H Oliveira, AM Caldeira, MA Machado, R Souza, R Tanscheit
Rio de Janeiro, Thompson, 2007
622007
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
322009
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
322005
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
272004
La categoria 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 (47), 255-268, 2005
232005
A Neuro-fuzzy System for Fraud Detection in Electricity Distribution.
C Muniz, MMBR Vellasco, R Tanscheit, K Figueiredo
IFSA/EUSFLAT Conf., 1096-1101, 2009
222009
Tuning PID controllers through genetic algorithms
JM Amaral, R Tanscheit, MA Pacheco
complex systems 2, 3, 2018
182018
Fuzzy rules extraction from support vector machines for multi-class classification
FC Adriana da Costa, MMBR Vellasco, R Tanscheit
Neural Computing and Applications 22 (7-8), 1571-1580, 2013
18*2013
Real-valued negative selection algorithm with a Quasi-Monte Carlo genetic detector generation
JLM Amaral, JFM Amaral, R Tanscheit
International Conference on Artificial Immune Systems, 156-167, 2007
182007
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
182004
Fundamentos de lógica fuzzy e controle fuzzy
R Tanscheit
Departamento de Engenharia Elétrica, Pontifícia Universidade Católica–RJ …, 2002
182002
EANN 2014: a fuzzy logic system trained by conjugate gradient methods for fault classification in a switch machine
EP de Aguiar, MA Fernando, RPF Amaral, DF Fabri, CA Sérgio, ...
Neural Computing and Applications 27 (5), 1175-1189, 2016
172016
Mental Tasks Classification for a Noninvasive BCI Application
AOG Barbosa, DRA Diaz, MMBR Vellasco, MA Meggiolaro, R Tanscheit
International Conference on Artificial Neural Networks, 495-504, 2009
162009
An immune fault detection system for analog circuits with automatic detector generation
JLM Amaral, JFM Amaral, R Tanscheit
2006 IEEE International Conference on Evolutionary Computation, 2966-2972, 2006
162006
Quantum inspired evolutionary algorithm for ordering problems
LR da Silveira, R Tanscheit, MMBR Vellasco
Expert Systems with Applications 67, 71-83, 2017
152017
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
152015
Modelagem e controle nebuloso
R Tanscheit, F Gomide, MCM Teixeira, LA Aguirre
Enciclopédia de Automática: Controle & Automação 3, 283-324, 2007
152007
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