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FCCM
2007
IEEE
168views VLSI» more  FCCM 2007»
15 years 5 months ago
Discrete-Time Cellular Neural Networks in FPGA
This paper describes a novel architecture for the hardware implementation of non-linear multi-layer cellular neural networks. This makes it feasible to design CNNs with millions o...
J. Javier Martínez-Álvarez, F. Javie...
IJSYSC
2006
113views more  IJSYSC 2006»
15 years 5 months ago
Neural network approach to collision free path-planning for robotic manipulators
: The paper deals with collision free path planning for industrial robotic manipulators. A new efficient algorithm is proposed that is based on a topologically ordered neural netwo...
Anatoly Pashkevich, M. Kazheunikau, A. E. Ruano
OR
2006
Springer
15 years 5 months ago
Financial forecasting through unsupervised clustering and neural networks
In this paper, we review our work on a time series forecasting methodology based on the combination of unsupervised clustering and artificial neural networks. To address noise and...
Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitr...
TFS
2008
138views more  TFS 2008»
15 years 5 months ago
Robust Adaptive Backstepping Motion Control of Linear Ultrasonic Motors Using Fuzzy Neural Network
A robust adaptive fuzzy neural network (RAFNN) backstepping control system is proposed to control the position of an - -2motion control stage using linear ultrasonic motors (LUSMs)...
Faa-Jeng Lin, Po-Huang Shieh, Po-Huan Chou
NN
2000
Springer
150views Neural Networks» more  NN 2000»
15 years 4 months ago
Multi-step-ahead prediction using dynamic recurrent neural networks
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya