Implementation of High Speed Tangent Sigmoid Transfer Function Approximations for Artificial Neural Network Applications on FPGA
Author:
- I. KoyuncuIKI. Koyuncu
Open Access
- 1 January 2018
- journal article
- research article
- Published by Universitatea Stefan cel Mare din Suceava in Advances in Electrical and Computer Engineering
- Vol. 18 (3) , 79-86
Abstract
Tangent Sigmoid (TanSig) Transfer Function (TSTF) is one of the nonlinear functions used in Artificial Neural Networks (ANNs). As TSTF includes exponential function operations, hardwar ...Keywords
This publication has 13 references indexed in Scilit:
- Hardware design and implementation of a novel ANN-based chaotic generator in FPGAOptik, 2016
- Hardware implementation of neural network with Sigmoidal activation functions using CORDICMicroprocessors and Microsystems, 2015
- Rare and hidden attractors in Van der Pol-Duffing oscillatorsThe European Physical Journal Special Topics, 2015
- Modeling and optimization of bioethanol production from breadfruit starch hydrolyzate vis-à-vis response surface methodology and artificial neural networkRenewable Energy, 2015
- Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent controlNeural Networks, 2014
- Performance and exhaust emissions prediction of a CRDI assisted single cylinder diesel engine coupled with EGR using artificial neural networkApplied Energy, 2014
- Automatic Assessing of Tremor Severity Using Nonlinear Dynamics, Artificial Neural Networks and Neuro-Fuzzy ClassifierAdvances in Electrical and Computer Engineering, 2014
- Low-resource hardware implementation of the hyperbolic tangent for artificial neural networksNeural Computing and Applications, 2013
- Self-Configurable FPGA-Based Computer SystemsAdvances in Electrical and Computer Engineering, 2013
- Neural network training based on FPGA with floating point number format and it’s performanceNeural Computing and Applications, 2010