Application of Artificial Intelligence in Innovation Experiment Management System Engineering

DOI

10.2991/icmcs-18.2018.34How to use a DOI?

Keywords

Neural network; Innovative product quality assessment; Innovation and entrepreneurship; Experimental teaching

Abstract

Artificial intelligence is a cross-cutting and marginal discipline involving computer science, cybernetics, informatics, psychology, philosophy, and decision-making. This paper tries to use the combination of artificial intelligence and system engineering to propose artificial intelligence planning and decision-making problems of innovative products in experiments. As an indispensable part of the control and decision-making system, artificial intelligence decision-making is dominated by computer planning. Combining the empirical coefficient with the research direction setting and planning, intelligently detecting the problem and realizing intelligent decision-making.

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  - Wei Gao
AU  - Qiang Qi
AU  - Lan Dong
AU  - Cui Liu
PY  - 2018/10
DA  - 2018/10
TI  - Application of Artificial Intelligence in Innovation Experiment Management System Engineering
BT  - Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018)
PB  - Atlantis Press
SP  - 171
EP  - 175
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmcs-18.2018.34
DO  - 10.2991/icmcs-18.2018.34
ID  - Gao2018/10
ER  -