research-article

Direct Position Determination Based on Neural Network Optimized by Particle Swarm

Authors:

Jie Yang,

Changsheng Han,

Jingyi ZhangAuthors Info & Claims

AIPR '21: Proceedings of the 2021 4th International Conference on Artificial Intelligence and Pattern Recognition

Pages 424 - 428

https://doi.org/10.1145/3488933.3488967

Published: 25 February 2022 Publication History

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References

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Direct Position Determination Based on Neural Network Optimized by Particle Swarm

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AIPR '21: Proceedings of the 2021 4th International Conference on Artificial Intelligence and Pattern Recognition

September 2021

715 pages

ISBN:9781450384087

DOI:10.1145/3488933

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 25 February 2022

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AIPR 2021: 2021 4th International Conference on Artificial Intelligence and Pattern Recognition

September 24 - 26, 2021

Xiamen, China

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Enhanced particle swarm optimizer incorporating a weighted particle

Multi-array Data Fusion Based Direct Position Determination Algorithm

A New Particle Swarm Optimization Algorithm for Neural Network Optimization

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