【摘要】 建立了基于蚁群算法的激光表面淬火工艺参数神经网络优化系统。用神经网络建立激光表面淬火工艺参数与目标参数的非线性模型,借助蚁群算法搜索决策工艺参数的最优组合,自动优化工艺参数。用VC++6.0开发了激光表面淬火工艺参数优化程序。结果表明,基于蚁群算法的神经网络优化系统用于解决激光表面淬火工艺参数优化问题是可行且有效的。更多还原

【Abstract】 In order to optimize and predict the process parameters of the laser surface hardening,ant colony algorithm-based neural network optimization system was developed.Neural network was used to build the nonlinear model between the process parameters and the targets of laser surface hardening,and ant colony algorithm was used to search and provide the possible combination of process parameters.An interface program was developed by VC + + 6.0.The results show that the system is reliable and efficient for optimizing and predicting the process parameters of laser surface hardening.更多还原