基于贝叶斯网络的精馏塔产品质量推断

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) Pub Date : 2002-08-07 DOI:10.1109/IJCNN.2002.1005448

C. H. Hall Barbosa, B. Melo, M. Vellasco, M. Pacheco, L. P. Vasconcellos

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摘要

不同的神经网络算法已被用于精馏塔产品质量的推断。本文将贝叶斯神经网络应用于柴油85% ASTM蒸馏的推理，并与传统多层感知器的结果进行了比较。此外，还实现并测试了几种预处理和变量选择方法。

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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Inference of distillation column products quality using Bayesian networks

Different neural networks algorithms have already been employed on the inference of distillation column products quality. This paper applies Bayesian neural networks on the inference of diesel 85% ASTM distillation, and compares the results with traditional multilayer perceptrons. Also, several pre-processing and variables selection methods have been implemented and tested.

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Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)

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