6533b7d3fe1ef96bd126090a
RESEARCH PRODUCT
Optimal implementation of neural activation functions in programmable logic using fuzzy logic
Luis Gómez-chovaEmilio Soria-olivasAlfredo Rosado-muñozJ. Muñoz-marlR. Magdalena-beneditosubject
Sequential logicFunction block diagramNeuro-fuzzyArtificial neural networkComputer scienceCircuit designActivation functionLogic familyControl engineeringComplex programmable logic deviceFuzzy logicProgrammable logic arrayFuzzy electronicsProgrammable logic deviceLogic synthesisSimple programmable logic deviceLogic optimizationRegister-transfer leveldescription
Abstract This work presents a methodology for implementing neural activation function in programmable logic using tools from fuzzy logic. This methodology will allow implementing these intrinsic non-linear functions using comparators and simple linear modellers, easily implemented in programmable logic. This work is particularized to the case of a hyperbolic tangent, the most common function in neural models, showing the excellent results yielded with the proposed approximation.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2006-02-01 | IFAC Proceedings Volumes |