Title :
FPGA implementation of neural network as processing element in ice detector
Author :
Marouf, Mohamed ; Popovic-Bozovic, Jelena ; Popovic, Ivan
Author_Institution :
Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia
Abstract :
In this paper we propose usage of neural networks in the field of meteorology especially to detect ice formation on roads. Used algorithm for building and training network is based on the road and air conditions which define ice formation on road´s surface. The ability of self and supervised learning are both used to solve this problem. We used VHDL to build proposed neural network as a part of the ice detector. FPGA implementation of the neural network is done using Xilinx Spartan-3 device.
Keywords :
field programmable gate arrays; hardware description languages; ice; learning (artificial intelligence); meteorology; neural nets; road safety; FPGA implementation; VHDL; Xilinx Spartan-3 device; air conditions; ice detector; ice formation detection; meteorology; neural network training; processing element; road conditions; road surface; self-learning; supervised learning; Field programmable gate arrays; Humidity; Ice; Neural networks; Neurons; Roads; Temperature distribution; FPGA implementation; Ice detection; Neural network; VHDL;
Conference_Titel :
Neural Network Applications in Electrical Engineering (NEUREL), 2012 11th Symposium on
Conference_Location :
Belgrade
Print_ISBN :
978-1-4673-1569-2
DOI :
10.1109/NEUREL.2012.6419970
