Design and Implementation of Neural Network Based circuits for VLSI testing

Artificial Neural Network (ANN) plays a vital role in biologically inspired microcircuits, which is also known as the new trend of Very Large Scale Integration (VLSI) involvement of silicon based neurons. This paper proposes a new design methodology in VLSI testing using neural network. Hardware based circuit is constructed by utilizing the features of neural network and that circuit is also tested for fault free method. Experimental results are targeted to ISCAS85 Combinational Benchmark circuit. Implementation of proposed fault free circuit is written in VHDL and synthesised with XILINX Spartan III FPGA.