贝叶斯材料分离模型及其在回收中的应用

Proceedings of the 2007 IEEE International Symposium on Electronics and the Environment Pub Date : 2007-05-07 DOI:10.1109/ISEE.2007.369400

T. Gutowski, J. Dahmus, D. Albino, M. Branham

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引用次数: 16

摘要

在本文中，我们提出了一个物质分离过程的概率模型。该模型基于贝叶斯定理，可以估计任意二值分离过程的性能。给定输入物质数据和分离过程的概率特征，该模型估计输出流的质量和浓度。该模型在分离过程中的应用，包括在材料回收中使用的分离过程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bayesian Material Separation Model with Applications to Recycling

In this paper we present a probabilistic model of material separation processes. The model, based on Bayes' Theorem can estimate the performance of any binary separation process. Given input material data and the probabilistic characteristics of the separation process, the model estimates the masses and concentrations of the output streams. Applications of this model to separation processes, including those used in material recycling, are demonstrated.

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Proceedings of the 2007 IEEE International Symposium on Electronics and the Environment

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