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Implementation of a Feed-Forward Neural Network on an FPGA Chip for Classification of Nonlinear Patterns  

Lee, Woon-Kyu (Dodam Company)
Kim, Jeong-Seob (Chungnam National University)
Jung, Seul (Chungnam National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SD / v.45, no.1, 2008 , pp. 20-27 More about this Journal
Abstract
In this paper, a nonlinear classifier of a feed-forward neural network is implemented on an FPGA chip. The feedforward neural network is implemented in hardware for fast parallel processing. After off line training of neural network, weight values are saved and used to perform forward propagation of neural processing. As an example, AND and XOR digital logic classification is conducted in off line, and then weight values are used in neural network. Experiments are conducted successfully and confirmed that the FPGA neural network hardware works well.
Keywords
FPGA; neural network; XOR pattern classification;
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