Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/44040
| Título: | Artificial neural network in FPGA for temperature prediction | Autores/as: | Pérez, Santiago T. Vásquez, José L. 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: | 2011 | Editor/a: | 0302-9743 | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 5th International Conference on Nonlinear Speech Processing (NOLISP 2011) 5th International Conference on Nonlinear Speech Processing, NOLISP 2011 |
Resumen: | In this work a temperature predictor has been designed. The prediction is made by an artificial neural network multilayer perceptron. Initially, the floating point algorithm was evaluated. Afterwards, the fixed point algorithm was designed on a Field Programmable Gate Array (FPGA). The architecture was fully parallelized and a maximum delay of 74 ns was obtained. The design tool used is System Generator of Xilinx. | URI: | http://hdl.handle.net/10553/44040 | ISBN: | 9783642250194 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-642-25020-0_14 | Fuente: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 7015 LNAI, p. 104-110 |
| Colección: | Actas de congresos |
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