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An Efficient Hardware Architecture with Adjustable Precision and Extensible Range to Implement Sigmoid and Tanh Functions
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-25188-7_15openalex-snapshot
A Non-linear Approximation of the Sigmoid Function Based FPGA
inferredcites →https://doi.org/10.1016/j.micpro.2011.05.007openalex-snapshot
Low-error digital hardware implementation of artificial neuron activation functions and their derivative
inferredcites →https://doi.org/10.1049/el:19891114openalex-snapshot
Efficient implementation of piecewise linear activation function for digital VLSI neural networks
inferredcites →https://doi.org/10.1049/ip-cds:20030607openalex-snapshot
Approximation of sigmoid function and the derivative for hardware implementation of artificial neurons
inferredcites →https://doi.org/10.1109/12.537127openalex-snapshot
Sigmoid generators for neural computing using piecewise approximations
inferredcites →https://doi.org/10.1109/12.67316openalex-snapshot
Expanding the range of convergence of the CORDIC algorithm
inferredcites →https://doi.org/10.1109/acssc.2016.7869646openalex-snapshot
Precise digital implementations of hyperbolic tanh and sigmoid function
inferredcites →https://doi.org/10.1109/casp.2016.7746174openalex-snapshot
Low power and area efficient Wallace tree multiplier using carry select adder with binary to excess-1 converter
inferredcites →https://doi.org/10.1109/icaci.2012.6463155openalex-snapshot
A non-linear approximation of the sigmoid function based on FPGA
inferredcites →https://doi.org/10.1109/iccit.2008.131openalex-snapshot
High Speed VLSI Implementation of the Hyperbolic Tangent Sigmoid Function
inferredcites →https://doi.org/10.1109/ijcnn.1993.716806openalex-snapshot
Neural networks with digital LUT activation functions
inferredcites →https://doi.org/10.1109/iscas.2009.5118213openalex-snapshot
Efficient hardware implementation of the hyperbolic tangent sigmoid function
inferredcites →https://doi.org/10.1109/iscas45731.2020.9180864openalex-snapshot
A CORDIC-Based Architecture with Adjustable Precision and Flexible Scalability to Implement Sigmoid and Tanh Functions
inferredcites →https://doi.org/10.1109/mcsoc2018.2018.00045openalex-snapshot
An Efficient Hardware Implementation of Activation Functions Using Stochastic Computing for Deep Neural Networks
inferredcites →https://doi.org/10.1109/recosoc.2013.6581545openalex-snapshot
Approximation of hyperbolic tangent activation function using hybrid methods
inferredcites →https://doi.org/10.1109/tc.2012.43openalex-snapshot
A Memory-Efficient Tables-and-Additions Method for Accurate Computation of Elementary Functions
inferredcites →https://doi.org/10.1109/tcsi.2019.2939563openalex-snapshot
A Universal Method of Linear Approximation With Controllable Error for the Efficient Implementation of Transcendental Functions
inferredcites →https://doi.org/10.1109/tec.1959.5222693openalex-snapshot
The CORDIC Trigonometric Computing Technique
inferredcites →https://doi.org/10.1109/tetc.2016.2618750openalex-snapshot
Computing Arithmetic Functions Using Stochastic Logic by Series Expansion
inferredcites →https://doi.org/10.1109/tvlsi.2010.2101621openalex-snapshot
Low-Power and Area-Efficient Carry Select Adder
inferredcites →https://doi.org/10.1109/tvlsi.2012.2232321openalex-snapshot
Efficient VLSI Implementation of Neural Networks With Hyperbolic Tangent Activation Function
inferredcites →https://doi.org/10.1109/tvlsi.2017.2740343openalex-snapshot
Low-Complexity Methodology for Complex Square-Root Computation
inferredcites →https://doi.org/10.1109/vlsisoc.2010.5642617openalex-snapshot
An optimized lookup-table for the evaluation of sigmoid function for artificial neural networks
inferredcites →https://doi.org/10.3390/electronics7040045openalex-snapshot
Design and Application Space Exploration of a Domain-Specific Accelerator System
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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PSO–GP: An evolutionary optimization-based activation function approximation for hardware efficient neural network
inferred← citeshttps://doi.org/10.1049/2024/6623637openalex-snapshot
Accelerated and Highly Correlated ASIC Synthesis of AI Hardware Subsystems Using CGP
inferred← citeshttps://doi.org/10.1109/iccd56317.2022.00114openalex-snapshot
SOMALib: Library of Exact and Approximate Activation Functions for Hardware-efficient Neural Network Accelerators
inferred← citeshttps://doi.org/10.1109/icce-taiwan62264.2024.10674139openalex-snapshot
Generic Hardware Integrating Multiple Activation Functions for Deep Learning Applications
inferred← citeshttps://doi.org/10.1109/icecs202256217.2022.9970828openalex-snapshot
Accelerated Piece-Wise-Linear Implementation Of Floating-Point Power Function
inferred← citeshttps://doi.org/10.1109/icee70628.2026.11710479openalex-snapshot
Approximation Approaches for Efficient Hardware Implementation of Sigmoid and Hyperbolic Tangent Activation Function on FPGA: A Comparison Study
inferred← citeshttps://doi.org/10.1109/iscas56072.2025.11043961openalex-snapshot
Approximating Nonlinear Activation Function Using Genetic Programming
inferred← citeshttps://doi.org/10.1109/itnec60942.2024.10733095openalex-snapshot
An Efficient FP16-Based Hardware Architecture with Enhanced CORDIC to Implement Sigmoid and Tanh Functions
inferred← citeshttps://doi.org/10.1109/tvlsi.2023.3277023openalex-snapshot
QPA: A Quantization-Aware Piecewise Polynomial Approximation Methodology for Hardware-Efficient Implementations
inferred← citeshttps://doi.org/10.1145/3526241.3530353openalex-snapshot
Evolutionary Standard Cell Synthesis of Unconventional Designs
inferred← citeshttps://doi.org/10.1145/3658617.3697713openalex-snapshot
HyPPO: Hybrid Piece-wise Polynomial Approximation and Optimization for Hardware Efficient Designs
inferred← citeshttps://doi.org/10.3390/app12010089openalex-snapshot
MLoF: Machine Learning Accelerators for the Low-Cost FPGA Platforms
inferred← citeshttps://doi.org/10.3390/electronics11091365openalex-snapshot
FPGA Implementation for the Sigmoid with Piecewise Linear Fitting Method Based on Curvature Analysis
inferred← citeshttps://doi.org/10.3390/electronics11203391openalex-snapshot
Area- and Power-Efficient Reconfigurable Architecture for Multifunction Evaluation
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