SVM Algorithm in EDA Design
Final Project of SI100 (Introduction to Information Science and Technology) – Advisor: Prof. Pingqiang Zhou, ShanghaiTech University
Machine Learning has been recently used to solve research problems in EDA area. It aims at training a model based on experimental data and further using this model to conduct prediction models or make decisions. One important and basic machine-learning algorithm is Support Vector Machine (SVM). In this project, we will apply SVM to solve one specific EDA problem – the sensor placement problem. Here is the lab report.