An optimized BP neural network model for teaching management evaluation

XS Yang, JJ Zhou, DQ Wen - Journal of Intelligent & Fuzzy …, 2021 - content.iospress.com
To improve the effectiveness and intelligence of university teaching management
evaluation, the particle swarm optimization BP neural network algorithm is applied to the …

Achromatic acoustic gradient-index phononic crystal lens for broadband focusing

J Hyun, WH Cho, CS Park, J Chang, M Kim - Applied Physics Letters, 2020 - pubs.aip.org
The aim of this study is to realize an achromatic acoustic gradient-index (GRIN) phononic
crystal (PC) lens system with a spatially invariant focal length over a broad operating …

[HTML][HTML] A Machine Learning Method for the Detection of Brown Core in the Chinese Pear Variety Huangguan Using a MOS-Based E-Nose

H Wei, Y Gu - Sensors, 2020 - mdpi.com
The brown core is an internal disorder that significantly affects the palatability and economic
value of Chinese pears. In this study, a framework that includes a back-propagation neural …

Multiple kinds of pesticides detection based on back-propagation neural network analysis of fluorescence spectra

H Bian, H Yao, G Lin, Y Yu, R Chen… - IEEE Photonics …, 2020 - ieeexplore.ieee.org
Fluorescence spectroscopy attracted more and more attention in pesticide residue detection
field because of its advantages of non-destructive, non-contact, high speed and no …

Fluorescence detection of multiple kinds of pesticides with multi hidden layers neural network algorithm

G Lin, R Ji, H Yao, R Chen, Y Yu, X Wang, X Yang… - Optik, 2020 - Elsevier
Pesticide residues have become a global concern because of the threaten to human health.
To realize the non-destructive detection of the pesticides containing in the drinking water …

Imputation method based on collaborative filtering and clustering for the missing data of the squeeze casting process parameters

J Deng, Z Ye, L Shan, D You, G Liu - Integrating Materials and …, 2022 - Springer
The development of a highly efficient methodology for establishing squeeze casting process
parameters from past data is essential. However, designing squeeze casting process …

The extraction method of gearbox compound fault features based on EEMD and cloud model

L Zhao, J Gong, H Chong - Mathematical Problems in …, 2020 - Wiley Online Library
When a compound fault occurs, the randomness and ambiguity of the gearbox will cause
uncertainty in the collected signal and reduce the accuracy of signal feature extraction. To …

A coupling method of geomagnetic aided inertial attitude errors

Z Deng, J Wang, X Liang, N Liu - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Due to use of low-cost inertial sensors, the attitude calculation results of guided projectiles
are inaccurate. A coupling method of geomagnetic aided inertial attitude errors is proposed …

考虑多层次潜在特征的个性化推荐模型

申情, 郭文宾, 楼俊钢, 余强国 - 电信科学, 2022 - infocomm-journal.com
个性化推荐已成为解决信息过载的最有效手段之一, 也是海量数据挖掘研究领域的热点技术.
然而传统推荐算法往往只使用用户对物品的评分信息, 而缺少对用户与物品潜在特征的综合考虑 …

Personalized recommendation model with multi-level latent features.

S Qing, GUO Wenbin, LOU Jungang… - Telecommunications …, 2022 - search.ebscohost.com
Personalized recommendation has become one of the most effective means to solve
information overload, and it is also a hot technology in the research field of massive data …