Alpha–Gamma Discrimination in BaF 2 Using FPGA-Based Feedforward Neural Network
IEEE Transactions on Nuclear Science(2017)
摘要
In this paper, we investigated the hardware implementation of two feedforward neural networks (NNs) using a field-programmable gate array (FPGA), then used the networks for alpha-gamma discrimination in barium fluoride (BaF2). The BaF2 detector output was sampled using a 1-GSPS ADC, and then we extracted six information of the pulses in FPGA as the input features to the NNs. The performance of thi...
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关键词
Neurons,Training,Field programmable gate arrays,Algorithm design and analysis,Feedforward neural networks,Feature extraction
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