Publicação: Approximation of Hyperbolic Tangent Activation Function Using Hybrid Methods
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Ieee
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Artificial Neural Networks are widely used in various applications in engineering, as such solutions of nonlinear problems. The implementation of this technique in reconfigurable devices is a great challenge to researchers by several factors, such as floating point precision, nonlinear activation function, performance and area used in FPGA. The contribution of this work is the approximation of a nonlinear function used in ANN, the popular hyperbolic tangent activation function. The system architecture is composed of several scenarios that provide a tradeoff of performance, precision and area used in FPGA. The results are compared in different scenarios and with current literature on error analysis, area and system performance.
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hyperbolic tangent, FPGA, activation function, Hybrid Methods
Idioma
Inglês
Como citar
2013 8th International Workshop On Reconfigurable And Communication-centric Systems-on-chip (recosoc). New York: Ieee, 6 p., 2013.
