Title :
FPGA implementation of a multilayer perceptron neural network using VHDL
Author :
Taright, Yamina ; Hubin, Michel
Author_Institution :
Lab. Perception Syst. et Inf., Inst. Nat. des Sci. Appliquees, Mont Saint Aignan, France
Abstract :
Our aim is how to use the run-time reconfiguration ability of SRAM-based FPGA circuits in older to implement artificial multilayer neural networks which are needed to process, in real-time, nonlinear data obtained from a set of microchemical sensors. So we propose, in this paper, an innovative alternative to ASICs and/or multiprocessors based architectures
Keywords :
SRAM chips; chemical sensors; field programmable gate arrays; hardware description languages; multilayer perceptrons; sensor fusion; FPGA implementation; SRAM-based FPGA circuits; VHDL; artificial multilayer neural networks; microchemical sensors; multilayer perceptron neural network; nonlinear data; run-time reconfiguration ability; sensor array; Artificial neural networks; Chemical sensors; Circuits; Electronic noses; Field programmable gate arrays; Hardware; Multi-layer neural network; Multilayer perceptrons; Neural networks; Sensor arrays;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770860