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参数直接影响激光器的性能,针对当前激光器参数优化方法存在的误差、速度慢等局限性,为了改善激光器的性能,提出了改进神经网络的激光器参数优化方法。首先对当前激光器参优化的研究现状进行分析,并找到当前激光器参数优化方法存在一些不足,然后对激光器参数优化原理进行分析,并通过实验采集大量激光器相关参数,最后采用改进神经网络建立激光器参数与激光器性能指标之间的关系模型,并通过具体实验测试的有效性和优越性。测试结果表明,神经网络可以找到激光器参数与激光器性能之间的联系,有效提高了激光器参数优化的精度,实验结果可以指导激光器参数选择和优化,有助于指导激光器的设计,具有较好的实际应用价值。
The parameters directly affect the performance of the laser. In view of the limitations of current laser parameters optimization methods, such as the slow speed and so on, in order to improve the performance of the laser, an improved laser parameter optimization method is proposed. Firstly, the current research status of laser parametric optimization is analyzed and some problems in the current laser parametric optimization are found out. Then, the principle of laser parametric optimization is analyzed, and a large number of laser related parameters are acquired through experiments. Finally, the improved neural network is used to establish the parameters of laser The relationship between the laser performance index model and the effectiveness and superiority of the test by specific experiments. The test results show that the neural network can find the connection between the laser parameters and the laser performance and effectively improve the accuracy of the laser parameters optimization. The experimental results can guide the laser parameter selection and optimization, which helps to guide the design of the laser and has a good practical Value.