Intelligent Control of Cutting Force in Three-Dimensional End Milling Operations Using Neural Networks

该项目涉及使用神经网络进行自适应 控制生产过程。开发了一种方法， 在并行计算环境中使用神经网络。在 此外，还提出了一种并行递归最小二乘算法， 用来训练循环神经网络联机和 完成了离线训练。验证了该方法 通过将其应用于控制切削力的问题， 在使用计算机的三维端铣操作中 模拟和实验室实验。* //

This project involves the use of neural networks for adaptive control of manufacturing processes. A methodology is developed to use neural networks in a parallel computing environment. In addition, a parallel recursive least squares algorithm is designed to train recurrent neural networks. Both on-line and off-line training are accomplished. The methodology is validated by applying it to the problem of controlling the cutting forces in a three-dimensional end milling operation using computer simulations and laboratory experiments.*** //