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ISNN
2007
Springer
13 years 12 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
IJON
2007
118views more  IJON 2007»
13 years 5 months ago
Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 time series prediction competition, recurrent neural networks (RNNs) are trained...
Xindi Cai, Nian Zhang, Ganesh K. Venayagamoorthy, ...
FLAIRS
2004
13 years 7 months ago
Recurrent Neural Networks and Pitch Representations for Music Tasks
We present results from experiments in using several pitch representations for jazz-oriented musical tasks performed by a recurrent neural network. We have run experiments with se...
Judy A. Franklin
VTC
2006
IEEE
110views Communications» more  VTC 2006»
13 years 11 months ago
Recurrent Neural Network Based Narrowband Channel Prediction
Abstract—In this contribution, the application of fully connected recurrent neural networks (FCRNNs) is investigated in the context of narrowband channel prediction. Three differ...
Wei Liu, Lie-Liang Yang, Lajos Hanzo
IROS
2006
IEEE
126views Robotics» more  IROS 2006»
13 years 11 months ago
A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks
Abstract— Tying suture knots is a time-consuming task performed frequently during Minimally Invasive Surgery (MIS). Automating this task could greatly reduce total surgery time f...
Hermann Georg Mayer, Faustino J. Gomez, Daan Wiers...