本发明提供了一种异质层状复合材料综合性能协同调控工艺参数数据及方法， 属于异质层状复合材料制备技术领域。包括： 收集异质层状复合材料和各组元材料的工艺参数数据和性能数据， 处理后作为输入值或输出值， 建立并训练人工神经网络模型； 给出设计性能数据， 处理后作为输入值输入到训练好的模型； 通过模型输出值比对确认完成协同调控工艺参数数据优化， 获得异质层状复合材料综合性能协同调控的工艺参数数据。本发明能基于组元材料和异质层状复合材料各自的设计性能、已有性能和工艺参数数据， 完成异质层状复合材料综合性能协同调控制备工艺参数数据的智能优化， 显著提高复合材料综合性能， 降低成本、节约时间、提高效率、节能降耗和低碳环保。

The present invention provides a heterogeneous laminated composite material comprehensive performance co-regulation process parameter data and method, belongs to heterogeneous laminated composite material preparation technology field. The present invention provides a process parameter data and method for coordinated control of comprehensive performance of heterogeneous laminated composite materials, which belongs to the technical field of preparation of heterogeneous laminated composite materials. The process parameter data of the comprehensive performance co-control of heterogeneous laminated composites is obtained. The present invention can complete the intelligent optimization of the process parameter data for the co-regulation of the comprehensive performance of heterogeneous laminated composites based on the design performance, existing performance and process parameter data of the constituent materials and heterogeneous laminated composites, which can significantly improve the comprehensive performance of the composites, reduce the cost, save the time, improve the efficiency, save the energy, reduce the consumption and reduce carbon emission and protect the environment.