Applying Particle Swarm Optimization to The Quantitative Texture Analysis based on Maximum Entropy Method

Acta Metall Sin

2008, Vol. 44

Issue (2): 183-187 DOI:

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Applying Particle Swarm Optimization to The Quantitative Texture Analysis based on Maximum Entropy Method

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东北大学

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;. Applying Particle Swarm Optimization to The Quantitative Texture Analysis based on Maximum Entropy Method. Acta Metall Sin, 2008, 44(2): 183-187 .

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Abstract In this article presented, the Particle Swarm Optimization (PSO) with inertia weight factor was applied for the quantitative texture analysis based on Maximum Entropy Method (MEM). Following this method, one has obtained fairly satisfying calculation results of complete orientation distribution for many samples of Deep-drawing Steel sheets and purity copper with macro orthogonal symmetry. In the processing data, there is not any assumption except the entropy is maximum. The samples compositions, texture components as well as their orientation distributions have no effect on the calculating results.

Key words: Particle Swarm Optimization (PSO) Textures Orientation Distribution Function (ODF) Maximum Entropy M

Received: 28 May 2007

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