Paper Title:
The Study of Hybrid Gaussian CBR Technique and Using in Camshaft Design System
  Abstract

In this paper, we propose a hybrid decision model using case-based reasoning augmented the Gaussian and k nearest neighbor methods for aided design camshaft in engine. The hybrid Gaussian k-NN (HGKNN) CBR scheme is designed to compute memberships between cam profile and engine parameters, which provides a more flexible and practical mechanism for reusing the decision knowledge. These methods were implemented in the database application and expert system following the examples of Cam Profile. To get the designed case, the retrieved results were compared and analyzed by HGKNN and k-NN algorithm in the CBR database. It proves the validity of HGKNN and CBR design system is used successfully in engine design process.

  Info
Periodical
Advanced Materials Research (Volumes 108-111)
Edited by
Yanwen Wu
Pages
603-607
DOI
10.4028/www.scientific.net/AMR.108-111.603
Citation
W. Yan, X. Q. Li, X. G. Tan, D. H. Tong, Q. Gao, "The Study of Hybrid Gaussian CBR Technique and Using in Camshaft Design System", Advanced Materials Research, Vols. 108-111, pp. 603-607, 2010
Online since
May 2010
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Price
$32.00
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