A higher prediction accuracy–based alpha–beta filter algorithm using the feedforward artificial neural network

The alpha–beta filter algorithm has been widely researched for various applications, for example, navigation and target tracking systems. To improve the dynamic performance of the alpha–beta filter algorithm, a new prediction learning model is proposed in this study. The proposed model has two main...

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Vydané v:	CAAI Transactions on Intelligence Technology Ročník 8; číslo 4; s. 1124 - 1139
Hlavní autori:	Khan, Junaid, Lee, Eunkyu, Kim, Kyungsup
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Beijing John Wiley & Sons, Inc 01.12.2023 Wiley
Predmet:	Accuracy Algorithms alpha beta filter Artificial intelligence artificial neural network Artificial neural networks Back propagation Back propagation networks Classification Deep learning Kalman filters Machine learning Methods Modules navigation Navigation systems Neural networks Performance evaluation Performance prediction prediction accuracy Root-mean-square errors Sensors target tracking problems Temperature sensors Tracking systems
ISSN:	2468-2322, 2468-6557, 2468-2322
On-line prístup:	Získať plný text
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