Documentos de Franco L. | REDI

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Mostrando 4 resultados de: 4

Filtros aplicados

Área de conocimiento: "Simulación por computadora"

Subtipo de publicación

Publisher

Engineering Applications of Artificial Intelligence(1)

IEEE Transactions on Parallel and Distributed Systems(1)

International Journal of Innovative Computing, Information and Control(1)

Neural Processing Letters(1)

Área temáticas

Ciencias de la computación(4)

Física aplicada(2)

Métodos informáticos especiales(2)

Programación informática, programas, datos, seguridad(1)

Área de conocimiento

Red neuronal artificial(2)

Aprendizaje automático(1)

Ciencias de la computación(1)

Año de Publicación

Origen

Palabras Claves

Constructive Neural Networks(3)

Hardware implementation(2)

Dynamic reprogramming(1)

Feedforward neural networks(1)

FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model

Abstract: A two-dimensional Ising model with nearest-neighbors ferromagnetic interactions is implemented in a

Palabras claves:

Hardware implementation, Ising model, LFSR random number generator, Monte Carlo simulations

Cannas S.A., Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., Montemurro M.A.

FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm

Abstract: Recent advances in FPGA technology have permitted the implementation of neurocomputational models, m

Palabras claves:

Constructive Neural Networks, Fpga, Hardware implementation

Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., Juárez G.E.

Energy-efficient reprogramming in WSN using constructive neural networks

Abstract: In this paper, we propose the use of neural network based technologies to carry out the dynamic repr

Palabras claves:

Constructive Neural Networks, Dynamic reprogramming, Feedforward neural networks, Wireless Sensor Networks

Aragonés J.M.J., Carmona E.C., Franco L., José Luis Subirats, Torres L.M.L., Urda D.

Smart sensor/actuator node reprogramming in changing environments using a neural network model

Abstract: The techniques currently developed for updating software in sensor nodes located in changing environ

Palabras claves:

Arduino, Constructive Neural Networks, microcontroller

Francisco Ortega-Zamorano, Franco L., Jerez-Aragonés J.M., José Luis Subirats, Molina I.