Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44040
Title: Artificial neural network in FPGA for temperature prediction
Authors: Pérez, Santiago T.
Vásquez, José L.
Travieso, Carlos M. 
Alonso, Jesús B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: neural network, FPGA, temperature prediction, Simulink, System Generator, floating point, fixed point, VHDL, Verilog
Issue Date: 2011
Publisher: 0302-9743
Journal: Lecture Notes in Computer Science 
Conference: 5th International Conference on Nonlinear Speech Processing (NOLISP 2011) 
5th International Conference on Nonlinear Speech Processing, NOLISP 2011 
Abstract: 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
Source: 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
Appears in Collections:Actas de congresos
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