基于人工神经网络的复杂海工装备项目工作结构分解

发布时间：2018-05-06 01:39

本文选题：工作分解结构 + 海工装备项目　；参考：《计算机集成制造系统》2017年07期

【摘要】：为解决复杂海工装备项目工作结构分解困难、分解结果不满足生产要求等问题,采用人工神经网络方法分析项目数据和项目工作结构的关联性,建立项目特征参数与项目工作结构的关联关系,实现项目工作结构的智能化分解。针对海工装备结构和建造特点,采用有向无环法建立了海工装备项目工作结构分解模型;引入"域"的概念并基于项目数据建立了海工装备项目域;设计了分层模块化人工神经网络结构,并利用项目域数据进行了神经网络训练和测试,得到了稳定的神经网络;通过实例验证了该方法的有效性,解决了目前海工企业项目工作结构分解耗时耗力的问题。
[Abstract]:In order to solve the problem that the work structure of complex marine equipment project is difficult to decompose and the result of decomposition does not meet the requirement of production, the relationship between project data and project work structure is analyzed by artificial neural network method. The relationship between the project characteristic parameters and the project work structure is established, and the intelligent decomposition of the project work structure is realized. According to the structure and construction characteristics of marine engineering equipment, the work structure decomposition model of marine equipment project is established by using directed non-ring method, the concept of "domain" is introduced and the project domain of marine engineering equipment is established based on project data. The hierarchical modular artificial neural network structure is designed, and the neural network is trained and tested using the item domain data, and a stable neural network is obtained, and the effectiveness of the method is verified by an example. It solves the problem of time-consuming and labor-consuming decomposing the work structure of marine engineering enterprise project at present.
【作者单位】：哈尔滨工程大学船舶工程学院;北京中船信息科技有限公司;
【基金】：工信部高技术船舶科研资助项目(2012[545])~~
【分类号】：P75;TP183

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