Abstract
The application of cloud storage and Case-Based Reasoning (CBR) technology in bending process is researched in this paper. Firstly, some of the essential features of cloud computing are briefly discussed with the end-users. Enterprises use the cloud as a platform to store data and support the Case-Based Reasoning technology, for which the core parts are case retrieval and case revise (reuse). Next, the difficulty of evaluating weights of condition attributes in case retrieval and the insufficiency of case revise strategies are stated in the paper. A new instance of the similarity and instance attribute weight calculation algorithm is introduced to solve the problems of similarity measurement and weights assignment in Case-Based Reasoning. Finally, the workflow for Case-Based Reasoning of database is analyzed, and the effectiveness of using this method to determine the recommended in the bending process parameters is demonstrated. Also the importance of knowledge reuse is reflected.
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