Modelling a simple current to voltage converter using ANN
Veepsa Bhatia, Kriti Gupta, Nidhi Batra, Neeta Pandey · 2016
The transistor dimensions of devices in MOS based circuit highly influence the circuit characteristics and evaluation parameters. Choosing the dimensions while being critical is also extremely complex primarily due to complex mathematical formulations at the submicron level. Thus, it is required to employ techniques to simplify the dimensioning process while still keeping the parameters under check. This study presents one such novel technique to estimate the transistor dimensions for a current to voltage converter structure, using the artificial neural networks approach. The approach uses Multilayer perceptrons as the artificial neural network architectures. The technique involves a two-step process. In the first step, training and test data are obtained by doing SPICE simulations of modelled circuit using 0.18µm TSMC CMOS technology parameters. In the second step, this training and test data is applied to the developed neural network architecture using MATLAB R2007b.