Evidence map›Paper›PMID 41963450›Full record

ArticleScientific reports2026

Research on vibration prediction method of aircraft lens frame based on CPO-BP.

Xuejian Zheng, Tieneng Guo, Hongyan Chu, Shuangfu Gao

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xuejian ZhengCollege of Mechanical and Energy Engineering, Beijing University of Technology, Beijing, 100124, People's Republic of China.
Tieneng GuoCollege of Mechanical and Energy Engineering, Beijing University of Technology, Beijing, 100124, People's Republic of China. guotn@163.com.
Hongyan ChuCollege of Mechanical and Energy Engineering, Beijing University of Technology, Beijing, 100124, People's Republic of China.
Shuangfu GaoCollege of Mechanical and Energy Engineering, Beijing University of Technology, Beijing, 100124, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address the engineering challenge of installing sensors directly on aircraft lens frames for vibration measurement, this paper proposes a vibration response prediction model (CPO-BP) based on a Crested Porcupine Optimizer Algorithm (CPO)-enhanced Backpropagation (BP) neural network. The model employs a two-step optimization strategy: first, CPO optimizes the number of hidden layer neurons and the learning rate; subsequently, it refines the initial values of the network's weights and biases, thereby improving both the model's convergence speed and generalization capability. Experimental results demonstrate that the CPO-BP model achieves a high coefficient of determination (R

Indexed as

Aircraft lens frameBP neural networkCrested porcupine optimizer (CPO)Parameter optimizationVibration prediction

Identifiers

PMID41963450
PMCPMC13201616

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.