Transparent open-box learning network and artificial neural network predictions of bubble-point pressure compared

Transparent open-box learning network and artificial neural network predictions of bubble-point pressure compared

The transparent open box (TOB) learning network algorithm offers an alternative approach to the lack of transparency provided by most machine-learning algorithms. It provides the exact calculations and relationships among the underlying input variables of the datasets to which it is applied. It also...

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Bibliographic Details
Main Authors: David A. Wood, Abouzar Choubineh
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2020-12-01
Series:Petroleum
Subjects:
Learning network transparency
Learning network performance compared
Prediction of oil bubble point pressure
Over fitting data sets for prediction
Auditing machine learning predictions
TOB complements ANN
Online Access:http://www.sciencedirect.com/science/article/pii/S2405656118300695

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http://www.sciencedirect.com/science/article/pii/S2405656118300695

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