TY - GEN
T1 - Temperature compensation for humidity sensors using ISSA-BP neural network
AU - Li, Dapeng
AU - Zhang, Hechu
AU - Yang, Yu
AU - Li, Wei
AU - Wang, Shuai
AU - Zheng, Dezhi
N1 - Publisher Copyright:
© 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.
PY - 2024/5/29
Y1 - 2024/5/29
N2 - High-precision humidity detection is essential in various fields. However, the sensor's output signal is often affected by complex environmental temperature changes. To address these challenges, this paper propose an improved sparrow search algorithm based on the back propagation neural network (ISSA-BP). This method optimizes the initialization process of the traditional algorithm and introduces an edge evolution strategy to enhance its iterative update process, significantly improving both efficiency and accuracy. Experimental results demonstrate that the proposed algorithm reduces the mean absolute percentage error (MAPE) from 4.35% to 0.92% and decreases the convergence time from 1.25 s to 0.65 s, compared to traditional methods.
AB - High-precision humidity detection is essential in various fields. However, the sensor's output signal is often affected by complex environmental temperature changes. To address these challenges, this paper propose an improved sparrow search algorithm based on the back propagation neural network (ISSA-BP). This method optimizes the initialization process of the traditional algorithm and introduces an edge evolution strategy to enhance its iterative update process, significantly improving both efficiency and accuracy. Experimental results demonstrate that the proposed algorithm reduces the mean absolute percentage error (MAPE) from 4.35% to 0.92% and decreases the convergence time from 1.25 s to 0.65 s, compared to traditional methods.
KW - back propagation neural network
KW - humidity sensor
KW - improved sparrow search algorithm
KW - temperature compensation
UR - http://www.scopus.com/inward/record.url?scp=105002584538&partnerID=8YFLogxK
U2 - 10.1145/3636534.3694726
DO - 10.1145/3636534.3694726
M3 - Conference contribution
AN - SCOPUS:105002584538
T3 - ACM MobiCom 2024 - Proceedings of the 30th International Conference on Mobile Computing and Networking
SP - 2004
EP - 2009
BT - ACM MobiCom 2024 - Proceedings of the 30th International Conference on Mobile Computing and Networking
PB - Association for Computing Machinery, Inc
T2 - 30th International Conference on Mobile Computing and Networking, ACM MobiCom 2024
Y2 - 18 November 2024 through 22 November 2024
ER -