Machine learning-guided design and development of multifunctional flexible Ag/poly (amic acid) composites using the differential evolution algorithm
Author:
Affiliation:
1. Shanghai Key Laboratory of Multidimensional Information Processing
2. East China Normal University
3. Shanghai
4. China
5. Shanghai Institute of Intelligent Electronics & Systems
Abstract
A BP neural network based on the DE algorithm has been established to study the electrical properties of flexible Ag/PAA composites.
Funder
National Natural Science Foundation of China
Science and Technology Commission of Shanghai Municipality
East China Normal University
Publisher
Royal Society of Chemistry (RSC)
Subject
General Materials Science
Link
http://pubs.rsc.org/en/content/articlepdf/2020/NR/C9NR09146G
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