Analysis of electrical test data using a neural network approach

This project aims at the development of new and fast tools helping to interpret the results of electrical measurements of chips (functional data) and of test structures between the chips, the so called process control monitors (PCM). The goal is to recognize and classify deviations in these results as soon as they become available so that process corrections can be implemented more quickly.