| Issue |
E3S Web Conf.
Volume 233, 2021
2020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 5 | |
| Section | BFS2020-Biotechnology and Food Science | |
| DOI | https://doi.org/10.1051/e3sconf/202123302003 | |
| Published online | 27 January 2021 | |
Application of artificial neural networks in the design of biomedical materials
Material Science and Engineering of Sichuan University-Pittsburgh Institute, Chengdu, 610227, China
Email: 1209935554@qq.com
Biomedical science is a scientific field that includes the intersection of multiple technologies, combining the theoretical methods of biology, medicine and engineering. Biomedical materials are now a branch of the body that studies materials that are adapted to the body’s functioning to ensure normal human activity. Because of its closely related to human activities, it has become an important research field in our time. Therefore, the purpose of this paper is to explore the application of artificial intelligence in the design of biological science materials. Therefore, in the case of using high-quality materials, the material design is improved and optimized by using artificial neural networks under the basis of adverse rejection reactions to the properties of raw materials. The experimental results show that artificial neural network can be better connected and reaction, which is beneficial to improve sensitivity and use emergency measures to deal with it.
© The Authors, published by EDP Sciences 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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