Dataset for: Temperature Comensation of Load Cells Based on an IHBA-Optimized BP Model

This dataset includes experimental data from a load cell and the corresponding temperature compensation data. The experimental data were tested using a sensor calibration system independently built by our research group. The temperature compensation data were compensated using the IHBA-BP neural network algorithm proposed by our group, as well as the traditional PSO-BP algorithm, BP neural network, and polynomial fitting method. This dataset supports the findings presented in the associated paper and is made available to facilitate reproducibility and further research in sensor error compensation.