AIM: To simulate a fully functional 2 layer CMOS-Memristor-based neural network for classification of benign and malign cancer. Description: The circuit-based neural network achieved an accuracy of 94.85% compared to the 96.71% accuracy of the original network. The trained weights were programmed onto the weight blocks of the memristor bridge in this neural network. Training of neural network was done on MATLAB and then weights were extracted and accordingly memristor-bridge weight blocks were configured. In the memristor-bridge circuit, currently resistors were used but they can be replaced with memristors. For activation function, we used ReLu (Rectified Linear Unit) and in…