A single layer architecture to FPGA implementation of BP artificial neural network

Authors:
Liu Shoushan;Chen Yan;Xu Wenshang;Zhang Tongjun
Affiliations:
College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, China;College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, China;College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, China;College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, China
Venue:
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 2
Year:
2010

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Abstract

Based on discussions of the hardware implementations of artificial neural network (ANN), the single layer architecture to FPGA of the back propagation artificial neural network (BP ANN) is proposed. To construct the single layer architecture, the computing blocks of BP ANN are presented. The construction of the single layer architecture is described. According the experiments of the implementation in FPGA and the defects classification in ultrasonic nondestruction detection of carbon fibre reinforced plastic (CFRP), the single layer architecture of BP ANN performs well and can serve the applications.