In order to find the rare particles generated from the collisions at high-energy particle colliders, we need to solve the signal-versus-background classification problems. It turns out neural network can be used here to improve the performance without any manually constructed inputs.
This is the content of my oral report:
- A brief introduction to neural network
- Detail information about the neural network I used to solve this problem
- Performance on the benchmark datasets