数控机床误差预测结果数据集

数控机床误差预测结果数据集主要面向数控机床误差预测的相关研究，运用改进二进制蝗虫算法选择出温度敏感点，将实时温度数据输入到长短时记忆神经网络模型中，实现对数控机床B轴、C轴和X轴的误差预测数据，为后续误差补偿与精度自愈做好基础，误差预测数据由matlab计算得到。

This CNC machine tool error prediction result dataset is primarily intended for research on CNC machine tool error prediction. An improved binary grasshopper optimization algorithm is employed to select temperature-sensitive points, and real-time temperature data is input into the long short-term memory (LSTM) neural network model to generate error prediction data for the B-axis, C-axis and X-axis of the CNC machine tool. All error prediction data are calculated via MATLAB, which lays a solid foundation for subsequent error compensation and accuracy self-healing research.

搜集汇总

背景与挑战

背景概述

该数据集包含数控机床B轴、C轴和X轴的误差预测数据，通过改进二进制蝗虫算法和长短时记忆神经网络模型生成，旨在支持数控机床误差预测和补偿研究。数据集由重庆大学发布，包含4个文件，总数据量为74.57KB。