Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44002
Title: Meteorological Prediction Implemented on Field-Programmable Gate Array
Authors: Vásquez, José L.
Pérez Suárez, Santiago Tomás 
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: 2013
Publisher: 1866-9956
Journal: Cognitive Computation 
Abstract: 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
Source: Cognitive Computation[ISSN 1866-9956],v. 5, p. 551-557
Appears in Collections:Artículos
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