Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/44002
| Título: | Meteorological Prediction Implemented on Field-Programmable Gate Array |
| Autores/as: | Vásquez, José L. Pérez Suárez, Santiago Tomás Travieso, Carlos M. Alonso, Jesús B. |
| Clasificación UNESCO: | 3307 Tecnología electrónica |
| Palabras clave: | Neural network FPGA Temperature prediction Simulink System generator Floating point Fixed point VHDL Verilog |
| Fecha de publicación: | 2013 |
| Editor/a: | 1866-9956 |
| Publicación seriada: | Cognitive Computation |
| Resumen: | In this work, a temperature predictor has been designed. The prediction is made by a multilayer perceptron neural network. Initially, the floating-point algorithm was evaluated. Afterward, the fixed-point algorithm was designed on a field-programmable gate array. The architecture was fully parallelized, and a maximum delay of 74 ns was obtained. The design tool used is a Xilinx system generator. |
| URI: | http://hdl.handle.net/10553/44002 |
| ISSN: | 1866-9956 |
| DOI: | 10.1007/s12559-012-9158-z |
| Fuente: | Cognitive Computation[ISSN 1866-9956],v. 5, p. 551-557 |
| Colección: | Artículos |
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