Neural Networks
This course presents an overview of the concepts of the neural networks and their aplication in the framework of High energy physics analyses. After a brief introduction on the concept of neural networks, the concept is explained in the frame of neuro-biology, introducing the concept of multi-lay...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2010-04-01
|
| Series: | EPJ Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/epjconf/20100402002 |
| id |
doaj-05195496ab544982b764f943d283fa0e |
|---|---|
| record_format |
Article |
| spelling |
doaj-05195496ab544982b764f943d283fa0e2021-08-02T09:43:37ZengEDP SciencesEPJ Web of Conferences2100-014X2010-04-0140200210.1051/epjconf/20100402002Neural NetworksSchwindling JeromeThis course presents an overview of the concepts of the neural networks and their aplication in the framework of High energy physics analyses. After a brief introduction on the concept of neural networks, the concept is explained in the frame of neuro-biology, introducing the concept of multi-layer perceptron, learning and their use as data classifer. The concept is then presented in a second part using in more details the mathematical approach focussing on typical use cases faced in particle physics. Finally, the last part presents the best way to use such statistical tools in view of event classifers, putting the emphasis on the setup of the multi-layer perceptron. The full article (15 p.) corresponding to this lecture is written in french and is provided in the proceedings of the book SOS 2008. http://dx.doi.org/10.1051/epjconf/20100402002 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Schwindling Jerome |
| spellingShingle |
Schwindling Jerome Neural Networks EPJ Web of Conferences |
| author_facet |
Schwindling Jerome |
| author_sort |
Schwindling Jerome |
| title |
Neural Networks |
| title_short |
Neural Networks |
| title_full |
Neural Networks |
| title_fullStr |
Neural Networks |
| title_full_unstemmed |
Neural Networks |
| title_sort |
neural networks |
| publisher |
EDP Sciences |
| series |
EPJ Web of Conferences |
| issn |
2100-014X |
| publishDate |
2010-04-01 |
| description |
This course presents an overview of the concepts of the neural networks and their aplication in the framework of High energy physics analyses. After a brief introduction on the concept of neural networks, the concept is explained in the frame of neuro-biology, introducing the concept of multi-layer perceptron, learning and their use as data classifer. The concept is then presented in a second part using in more details the mathematical approach focussing on typical use cases faced in particle physics. Finally, the last part presents the best way to use such statistical tools in view of event classifers, putting the emphasis on the setup of the multi-layer perceptron. The full article (15 p.) corresponding to this lecture is written in french and is provided in the proceedings of the book SOS 2008. |
| url |
http://dx.doi.org/10.1051/epjconf/20100402002 |
| work_keys_str_mv |
AT schwindlingjerome neuralnetworks |
| _version_ |
1721234511606317056 |