Feed Forward Neural Network For Sine Function With Symmetric Table Addition Method Using Labview And Matlab Code

Abstract

This work is proposed thefeed forward neural network with symmetric table addition methodto design the neuron synapses algorithm of the sine function approximations, and according to theTaylor series expansion. Matlab code and LabVIEW are used to build and create the neural network , which has been designed and traineddatabase set to improve its performance, and gets the besta global convergence with small value of MSE errors and 97.22% accuracy.