Design And Performance Analysis Of And Gate Using Synaptic Inputs For Neural Network Application

1762 Words May 4th, 2015 8 Pages
DESIGN AND PERFORMANCE ANALYSIS OF AND GATE USING SYNAPTIC INPUTS FOR NEURAL NETWORK APPLICATION
[1]S.SOUNDARYA [2] VAMSHI.G [3] SOUNDARAJAN.M [4] RAMKUMAR.A
[1] [2] [3] Students, ece department, saveetha school of engineering, Chennai
[4] Asst.prof, ece department, Saveetha School of engineering, Chennai

ABSTRACT
Logic gates are one of the main constituents to design and integrate as a chip. With advent of vision and method in neural network, the intricacy can be clear alongside this knowledge to a remarkable extent. The intention of this paper is to focus on how to design a perceptron that is nothing but a single layer feed forward neural network to purpose as an AND gate and to examine its performance. Firstly, the background of neural network basics is reviewed. Then, the neural network toolbox in MatLAB® is delineated for training, validating and assessing the neural network. The design of a perceptron is done in two ways.
KEYWORDS: neural network, AND gate, MatLAB, learningp algorithm
I.INTRODUCTION
Generally logic gates procedure the signals that embody TRUE or FALSE and produces output either TRUE or FALSE according to their design. The basic logic gates are AND, NAND, OR and NOR gates.

1(a)
Symbolic representation of AND gate
An arrangement of one input layer of neuron feeding forward to one output layer of neuron is shouted as a perceptron. The perceptron is an algorithm for supervised association of an input into one of the countless probable non-binary…
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