HIGH-PRECISION INDOOR VISIBLE LIGHT POSITIONING USING MODIFIED MOMENTUM BACK PROPAGATION NEURAL NETWORK WITH SPARSE TRAINING POINT

High-Precision Indoor Visible Light Positioning Using Modified Momentum Back Propagation Neural Network with Sparse Training Point

In this letter, we propose an indoor visible light positioning technique using a Modified Momentum Back-Propagation (MMBP) algorithm based on received signal strength (RSS) with sparse training data set.Unlike other neural network algorithms that require a large number of training data points to locate accurately, we have realized high-precision po

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Finite Element Modeling and Calibration of a Three-Span Continuous Suspension Bridge Based on Loop Adjustment and Temperature Correction

Precise finite element modeling is critically important for the construction and maintenance of long-span suspension bridges.During the process of modeling, shape-finding and model calibration directly impact the accuracy and reliability.Scholars have provided numerous alternative proposals for the shape-finding of main cables in suspension bridges

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