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本项目旨在构建一个基于神经网络的智能软件平台，通过数据驱动的方式，自动为激光诱导石墨烯加工过程推荐最优的激光功率、频率、脉宽、扫描速度等关键工艺参数。平台以“阻值频选”（即根据目标电阻值与频率响应特性反向选择加工参数）为核心应用场景，实现从“目标性能→最优参数”的端到端智能决策，大幅降低对操作人员经验的依赖，提升研发效率与加工一致性。
