Indoor Positioning of RBF Neural Network Based on Improved Fast Clustering Algorithm Combined With LM Algorithm

Meng, Hao; Yuan, Fei; Yan, Tianhao; Zeng, Mingfang

doi:10.1109/access.2018.2888616

Cited by 26 publications

(13 citation statements)

References 30 publications

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“…Traditionally, risk identification theory is used to complete the communication risk management. On this basis, through a large number of numerical operations, the risk factors of specific parts are recognized, and then the severity of injury caused by sports is grasped [2,3]. However, with the continuous progress of science and technology, people have higher and higher requirements for the accuracy of sports injury assessment.…”

Section: Introductionmentioning

confidence: 99%

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[Retracted] Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm

He¹

2021

Complexity

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Sports injury is a common problem in athletes’ training. The sports injury assessment model is a physical method to determine the sports injury attributes of specific parts by predicting and evaluating the risk of sports injury. In this paper, we use a neural network to realize big data analysis of sports injury data. Big data network is a method of capturing Internet information by means of cloud computing, which is usually used in the construction of Wan and LAN. This paper analyzes the source of sports risk and the main injury factors, designs the sports injury estimation model based on big data analysis, establishes a new assessment model based on RBF neural network, and builds the big data network environment required for the model operation by improving the topological structure, combining big data and deep neural network. In the built environment, the risk assessment of sports injury can be completed by determining the risk source and identifying the risk factors. The realization of the model can be constrained by the uncertainty conditions so that it can achieve a good operation state.

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Section: Introductionmentioning

confidence: 99%

“…neural network discretization method to discretize the factor data. e decision table is composed of the factor data after SOM neural network discretization and the initial discrete value data (3). …”

mentioning

confidence: 99%

[Retracted] Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm

He¹

2021

Complexity

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“…Furthermore, willing to design a stable fingerprint database by reducing the fluctuation of WiFi RSS, Meng et al. ( 2019 ) have considered Radial Basis Function (RBF) Neural Network. Besides, Zhang et al.…”

Section: Different Phases Of Indoor Localization Systemmentioning

confidence: 99%

“… Meng et al. ( 2019 ), 2019 Improving reliability: Inaccurate positioning of WiFi-based ILS RBF-NN, fast clustering algorithm WiFi Optimizes training process by applying RBF NN. Improves training speed for more robust results.…”

Section: Research Challenges Of a Ubiquitous Ils And Future Directionsmentioning

confidence: 99%

A survey on ubiquitous WiFi-based indoor localization system for smartphone users from implementation perspectives

Roy

Chowdhury

2022

CCF Trans. Pervasive Comp. Interact.

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Indoor localization has the capability to change the way of providing location-based services in a closed environment and has more potential than that of GPS if the present shortcomings can be overcome. Thus, developing a ubiquitous Indoor Localization System (ILS) is the need of the day. WiFi-based indoor localization using smartphones is a promising approach to achieve ubiquity since smartphones are widely available today and most of the buildings are WiFi enabled. However, the significant variation of WiFi signal strengths with ambient conditions as well as device configuration badly affects the localization accuracy. Hence, a ubiquitous ILS, which would be widely available and would not require any specialized hardware support is still out of reach. Thus, this paper surveys state-of-the-art WiFi-based indoor localization techniques with a critical analysis of their applicability as a ubiquitous system. Consequently, the main objective of this paper is to highlight the key research challenges of implementing a WiFi-based ILS when system ubiquity is the prime concern with a discussion on future direction. Some of the experiments have been implemented on a real-life dataset in order to indicate the implementation challenges of such a system.

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“…The optimization algorithm of this paper uses the LM (Levenberg Marquardt) optimization algorithm [30], [31]. The LM algorithm is a nonlinear optimization method.…”

Section: B Lm Optimization Aigorithmmentioning

confidence: 99%

Multi-Step Predictive Current Control for NPC Grid-Connected Inverter

Wang

2019

IEEE Access

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Aiming at improving the quality of output current when the inverter is connected to the grid, this paper proposes a control strategy of neutral point clamped (NPC) grid-connected inverter based on radial basis function neural network (RBFNN) multi-step predictive control. Firstly, the predictive control model for output current of NPC inverter is constructed by αβ coordinate transformation. Then the future values of output current are predicted for each voltage vectors, using the RBFNN prediction model. After the predicted values are obtained, a cost function f is calculated for each voltage vectors and the optimal voltage vector which minimizes cost function is selected. The switch state corresponding to the optimal voltage vector is applied to the inverter in the next sampling period. Thereby the control of grid-connected output current can be achieved. The simulation results show that the RBFNN multi-step predictive control method improves the capability of current tracking and reduces the harmonic rate of output current. The proposed method can balance output current under the condition of grid voltage imbalance. INDEX TERMS Inverter, RBF neural network, predictive control, optimal voltage vector, three-phase current balance.

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Indoor Positioning of RBF Neural Network Based on Improved Fast Clustering Algorithm Combined With LM Algorithm

Cited by 26 publications

References 30 publications

[Retracted] Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm

[Retracted] Early Warning Model of Sports Injury Based on RBF Neural Network Algorithm

A survey on ubiquitous WiFi-based indoor localization system for smartphone users from implementation perspectives

Multi-Step Predictive Current Control for NPC Grid-Connected Inverter

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