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/).

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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  -