Overview of the Research Status on Artificial Neural Networks
- DOI
- 10.2991/ifmeita-17.2018.59How to use a DOI?
- Keywords
- Artificial Intelligence; Neural Network; Machine Learning
- Abstract
With the development of artificial intelligence, artificial neural network algorithm models that simulate the working pattern of human brain neurons have attracted more and more attention. The ability of artificial neural network on feature extraction and classification, has been widely used in image recognition, speech recognition, natural language processing, trend prediction and other fields that effectively assists or replaces the work which needs to be done by human image thinking. At the same time, artificial neural network is a machine learning system, and it will get better results with the progress of training. Based on the development history and research status of artificial neural networks, this paper analyzes and compares several neural network technology models and algorithms, and puts forward the analysis ideas and opinions.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xin-Gang Wang PY - 2018/02 DA - 2018/02 TI - Overview of the Research Status on Artificial Neural Networks BT - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017) PB - Atlantis Press SP - 351 EP - 356 SN - 2352-5398 UR - https://doi.org/10.2991/ifmeita-17.2018.59 DO - 10.2991/ifmeita-17.2018.59 ID - Wang2018/02 ER -