Application of artificial bee colony algorithm and back propagation neural network in color evaluation of human–machine interaction interfaces-Reference-Cited by-同舟云学术

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Application of artificial bee colony algorithm and back propagation neural network in color evaluation of human–machine interaction interfaces

Published:2021-11-30 Issue: Volume: Page:
ISSN:2577-8196
Container-title:Engineering Reports
language:en
Short-container-title:Engineering Reports

Author:

Deng Li¹²^ORCID,Deng Fuduo²,Wang Guohua³

Affiliation:

1. Key Laboratory of Oil and Gas Equipment, Ministry of Education Southwest Petroleum University Chengdu China

2. School of Mechatronic Engineering Southwest Petroleum University Chengdu China

3. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum University Chengdu China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eng2.12483

Reference47 articles.

1. Distinguishing and quantifying the visual aesthetics of a product: an integrated approach of eye‐tracking and EEG;Guo F;Int J Ind Ergon,2019

2. TsengP LeeS.The impact of web visual aesthetics on purchase intention. Proceedings of the 2019 IEEE Eurasia Conference on IOT Communication and Engineering (ECICE); Yunlin Taiwan; 2019:28‐31.

3. Understanding the impact of perceived visual aesthetics on user evaluations: an emotional perspective;Bhandari U;Inf Manag,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of Ant Colony Algorithm in Physical Education Teaching Evaluation;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

2. Image Entropy-Based Interface Evaluation Method for Nuclear Power Plants;Entropy;2023-12-08

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