Next Article in Journal
Fabrication and Characterization of Perovskite Solar Cells Using Metal Phthalocyanines and Naphthalocyanines
Previous Article in Journal
Survivability Approach to Increase the Resilience of Critical Systems
 
 
engproc-logo
Article Menu

Article Menu

Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Proceeding Paper

Research on an Embedded Intelligent Computing Technology †

AVIC Xi’an Aeronautics Computing Technique Research Institute, Xi’an 710065, China
*
Author to whom correspondence should be addressed.
Presented at the 2nd International Conference on Green Aviation (ICGA 2024), Chengdu, China, 6–8 November 2024.
Eng. Proc. 2024, 80(1), 32; https://doi.org/10.3390/engproc2024080032
Published: 18 February 2025
(This article belongs to the Proceedings of 2nd International Conference on Green Aviation (ICGA 2024))

Abstract

In this paper, we study the realization in the embedded platform of an Artificial Neural Network (ANN) to explore the feasibility of a lightweight neural network. The purpose is to provide theoretical support for the intelligent information processing system based on a neural network under the airborne embedded environment, and then to support the intelligent demand of the airborne system in the future complex battlefield. By analyzing the application prospect of ANN in the aviation field, this paper will design an embedded hardware platform for UAV autonomous intelligence information processing tasks, and realize a convolution neural network (CNN) on it, using an image recognition task to train and test.
Keywords: intelligent computing; artificial neural networks; embedded system; FPGA intelligent computing; artificial neural networks; embedded system; FPGA

Share and Cite

MDPI and ACS Style

Su, P.; Liu, Y. Research on an Embedded Intelligent Computing Technology. Eng. Proc. 2024, 80, 32. https://doi.org/10.3390/engproc2024080032

AMA Style

Su P, Liu Y. Research on an Embedded Intelligent Computing Technology. Engineering Proceedings. 2024; 80(1):32. https://doi.org/10.3390/engproc2024080032

Chicago/Turabian Style

Su, Pengtao, and Yihan Liu. 2024. "Research on an Embedded Intelligent Computing Technology" Engineering Proceedings 80, no. 1: 32. https://doi.org/10.3390/engproc2024080032

APA Style

Su, P., & Liu, Y. (2024). Research on an Embedded Intelligent Computing Technology. Engineering Proceedings, 80(1), 32. https://doi.org/10.3390/engproc2024080032

Article Metrics

Back to TopTop