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Towards a case-based computational model for the creative design of electromagnetic devices

机译:建立基于案例的电磁设备创新设计计算模型

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In order to explore creativity in design, a computational model based on Case-Based Reasoning (CBR) (an approach to employing old experiences to solve new problems) and other soft computing techniques from machine learning, is proposed in this paper. The new model is able to address the four challenging issues: generation of a design prototype from incomplete requirements, judgment and improvement of system performance given a sparse initial case base library, extraction of critical features from a given feature space, adaptation of retrieved previous solutions to similar problems for deriving a solution to a given design task. The core principle within this model is that different knowledge from various level cases can be explicitly explored and integrated into a practical design process. In order to demonstrate the practical significance of our presented computational model, a case-based design system for EM devices, which is capable of deriving a new design prototype from a real-world device case base with high dimensionality, has been developed.
机译:为了探索设计中的创造力,本文提出了一种基于案例推理(CBR)(利用旧经验解决新问题的方法)和其他来自机器学习的软计算技术的计算模型。新模型能够解决四个具有挑战性的问题:从不完整的需求生成设计原型,给定稀疏的初始案例库来判断和提高系统性能,从给定的特征空间中提取关键特征,改编检索到的先前解决方案类似的问题,以得出给定设计任务的解决方案。该模型的核心原理是,可以明确地探索来自不同级别案例的不同知识,并将其集成到实际设计过程中。为了证明我们提出的计算模型的实际意义,已经开发了一种基于案例的EM设备设计系统,该系统能够从现实世界中具有高维的设备案例库中获得新的设计原型。

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