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Article

FPGA-Based Implementation of a Multilayer Perceptron Suitable for Chaotic Time Series Prediction

1
Department of Electronics, INAOE, Puebla 72840, Mexico
2
Department of Electrical and Computer Engineering, University of California, Riverside, CA 92521, USA
3
Unidad Iztapalapa, Universidad Autónoma Metropolitana, Mexico City 09340, Mexico
4
Department of Computer Sciences, CINVESTAV, Mexico City 07360, Mexico
*
Author to whom correspondence should be addressed.
Received: 16 August 2018 / Revised: 18 September 2018 / Accepted: 28 September 2018 / Published: 1 October 2018
(This article belongs to the Special Issue Modern Circuits and Systems Technologies on Electronics)
Many biological systems and natural phenomena exhibit chaotic behaviors that are saved in time series data. This article uses time series that are generated by chaotic oscillators with different values of the maximum Lyapunov exponent (MLE) to predict their future behavior. Three prediction techniques are compared, namely: artificial neural networks (ANNs), the adaptive neuro-fuzzy inference system (ANFIS) and least-squares support vector machines (SVM). The experimental results show that ANNs provide the lowest root mean squared error. That way, we introduce a multilayer perceptron that is implemented using a field-programmable gate array (FPGA) to predict experimental chaotic time series. View Full-Text
Keywords: chaos; time series prediction; FPGA; multilayer perceptron chaos; time series prediction; FPGA; multilayer perceptron
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MDPI and ACS Style

Pano-Azucena, A.D.; Tlelo-Cuautle, E.; Tan, S.X.-D.; Ovilla-Martinez, B.; De la Fraga, L.G. FPGA-Based Implementation of a Multilayer Perceptron Suitable for Chaotic Time Series Prediction. Technologies 2018, 6, 90. https://0-doi-org.brum.beds.ac.uk/10.3390/technologies6040090

AMA Style

Pano-Azucena AD, Tlelo-Cuautle E, Tan SX-D, Ovilla-Martinez B, De la Fraga LG. FPGA-Based Implementation of a Multilayer Perceptron Suitable for Chaotic Time Series Prediction. Technologies. 2018; 6(4):90. https://0-doi-org.brum.beds.ac.uk/10.3390/technologies6040090

Chicago/Turabian Style

Pano-Azucena, Ana D., Esteban Tlelo-Cuautle, Sheldon X.-D. Tan, Brisbane Ovilla-Martinez, and Luis G. De la Fraga 2018. "FPGA-Based Implementation of a Multilayer Perceptron Suitable for Chaotic Time Series Prediction" Technologies 6, no. 4: 90. https://0-doi-org.brum.beds.ac.uk/10.3390/technologies6040090

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