Research on an Embedded Intelligent Computing Technology

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.

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Publication Details

Published
2025-02-18
DOI
https://doi.org/10.3390/engproc2024080032
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on an Embedded Intelligent Computing Technology

Peng Su, Y. Liu
Advanced Memory and Neural Computing
article

Research on an Embedded Intelligent Computing Technology

Peng Su, Y. Liu
article en

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.

Xi'an Aeronautical University (CN)
Openalex Percentile: Top 98%
Advanced Memory and Neural Computing
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