A CASE-BASED REASONING APPROACH TO MESH SPECIFICATION FOR ADAPTIVE FINITE-ELEMENT ANALYSIS

In this paper the application of an Artificial Intelligence paradigm c alled Case Based Reasoning (CBR) to the issue of mesh specification fo r adaptive finite element analysis is discussed. It is argued that CBR can provide greater flexibility than the traditional rule-based appro ach, permitting solutions of problems to be proposed even when domain knowledge is lacking. Moreover, CBR allows the exploitation the numeri cal knowledge extracted by a posteriori analysis of previously solved problems, encompassing a learning mechanism in a natural manner. We be lieve that the system proposed here can provide a powerful problem sol ving strategy, as well as providing a means of knowledge acquisition. Ultimately, coupling this approach with a rule-based can provide a pro blem solving environment for tackling complex real-world problems.