DESIGN OFMAC USING FEED FORWARD NEURAL NETWORKS

Abstract

This research investigates the usage of feed forward neural networks,traditional Indian  Vedic multiplier,carry skip adder,parallel in parallel  out register and MAC. An Artificial Neural Network  (ANN) operates in a parallel information processing  structure, comprising processing units. The  efficiency of the network is determined by the  processing unit. Hence, there is a need to design a  processing unit that is both efficient and capable of  delivering superior performance. This processing  unit encompasses a MAC unit (Multiplication and  Accumulation) and an Activation unit. The main focus of high-speed processors is to minimize power  consumption and processing times. The implementation of the design utilizes Verilog, a hardware description language, and the testing phase is carried out using the Modelism simulator.The  study performance the 4 bit mac using feed forward  network with 4 bit mac using logic gates.