Random forest and multilayer perceptron for predicting the dielectric loss of polyimide nanocomposite films-Reference-Cited by-同舟云学术

Random forest and multilayer perceptron for predicting the dielectric loss of polyimide nanocomposite films

Published:2017 Issue:49 Volume:7 Page:30999-31008
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Guo H.¹²³⁴^ORCID,Zhao J. Y.¹²³⁴⁵,Yin J. H.⁶⁷⁸⁴

Affiliation:

1. College of Computer Science and Engineering

2. Dalian Nationalities University

3. Dalian 116600

4. China

5. Faculty of Electronic Information and Electrical Engineering

6. School of Applied Science

7. Harbin University of Science and Technology

8. Harbin 150080

Abstract

A random forest and multilayer perceptron for predicting the dielectric loss of polyimide nanocomposite films. As shown in the experimental results, the error between the predicted value and the measured value is small.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2017/RA/C7RA04147K

Reference34 articles.

1. Synthesis and applications of hyperbranched polymers

2. Enhanced breakdown strength of poly(vinylidene fluoride) utilizing rubber nanoparticles for energy storage application

3. Fluorescence patterning with mild illumination in polymer films of photocleavable oxazines

4. Microstructure engineering of polymer semiconductor thin films for high-performance field-effect transistors using a bi-component processing solution

5. The effects of the SiOSi segment presence in BAPP/BPDA polyimide system on morphology and hardness properties for opto-electronic application

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