RSSI-Based Indoor Localization Using Sparrow Search Algorithm and Backward Propagation Neural Network

Zhang, Peiwen; Liang, Zhonghua; Hu, Jiaye; He, Xin; Li, Wei

doi:10.1109/icbaie56435.2022.9985915

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…For a given data point, its true label distribution can be represented by one-hot coding. Thus, our task becomes maximising the model's predictive probability for the true labels, i.e., maximising the likelihood function [16].…”

Section: Algorithm Analysis For Bp Classification Neural Networkmentioning

confidence: 99%

Neural Network-Enhanced Fault Diagnosis of Robot Joints

Zhang,

Zhu

2023

Algorithms

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Industrial robots play an indispensable role in flexible production lines, and the faults caused by degradation of equipment, motors, mechanical system joints, and even task diversity affect the efficiency of production lines and product quality. Aiming to achieve high-precision multiple size of fault diagnosis of robotic arms, this study presents a back propagation (BP) multiclassification neural network-based method for robotic arm fault diagnosis by taking feature fusion of position, attitude and acceleration of UR10 robotic arm end-effector to establish the database for neural network training. The new algorithm achieves an accuracy above 95% for fault diagnosis of each joint, and a diagnostic accuracy of up to 0.1 degree. It should be noted that the fault diagnosis algorithm can detect faults effectively in time, while avoiding complex mathematical operations.

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Section: Algorithm Analysis For Bp Classification Neural Networkmentioning

confidence: 99%

Neural Network-Enhanced Fault Diagnosis of Robot Joints

Zhang,

Zhu

2023

Algorithms

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“…As the research of WSN technology develops, scholars have proposed different methods to further improve positioning accuracy. Reference 4 proposes an indoor localization method based on SSA and BP NN to construct ranging model. Reference 5 analyses the hybrid approach of Hybrid GA-Firefly localization algorithm.…”

Section: Introductionmentioning

confidence: 99%

Reliable node localization algorithm for WSN based on weighted AHP-GRA

2023

Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023)

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Target localization is one of the most widespread applications of WSN (Wireless Sensor Network). However, in a number of specific harsh scenarios, physical location of anchor node may drift because of influence of external environment or human factors, which in turn leads to the estimated location of unknown node is not accurate. Therefore, a reliable node localization algorithm for WSN based on weighted AHP-GRA is proposed in this paper. Firstly, distance change among nodes in localization scenarios is counted and reference sequence is constructed, then comprehensive influence matrix is obtained by environmental factors. Next, the weighted comprehensive influence matrix is further obtained by combining the two. After that, the node confidence level is obtained based on AHP-GRA, and three reliable nodes with the highest confidence level are taken as anchor nodes to complete localization by using trilateral localization method. Simulation results show that the algorithm in this paper effectively improves localization effect of WSN in complex scenes. Compared with other algorithms, the algorithm in this paper has great advantages in selection of reliable nodes, localization accuracy, and localization coverage.

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Research on Indoor Positioning Algorithm based on Hybrid Sparrow Algorithm Improved Back Propagation Neural Network

Yan

2023

2023 5th International Conference on Frontiers Technology of Information and Computer (ICFTIC)

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RSSI-Based Indoor Localization Using Sparrow Search Algorithm and Backward Propagation Neural Network

Cited by 3 publications

References 14 publications

Neural Network-Enhanced Fault Diagnosis of Robot Joints

Neural Network-Enhanced Fault Diagnosis of Robot Joints

Reliable node localization algorithm for WSN based on weighted AHP-GRA

Research on Indoor Positioning Algorithm based on Hybrid Sparrow Algorithm Improved Back Propagation Neural Network

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