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Cluster Computing

Erschienen in:

26.03.2018

A rough set data prediction method based on neural network evaluation and least squares fusion

verfasst von: Xi Fei, Sun Youfu, Ruan Xuejun

Erschienen in: Cluster Computing | Sonderheft 5/2019

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Abstract

To improve precision of heat insulation performance analysis algorithm of composite wall in hot summer and cold winter zone, a kind of rough-set predicative analysis method for heat insulation performance of composite wall in hot summer and cold winter zone is put forward. Firstly, structure and parameter for three kinds of walls adopted in research of this Paper are provided and corresponding heat-insulation physical model and problems are described; secondly, introducing rough set, combining with its advantages in disposing uncertain and inaccurate and incomplete data, evaluation analysis for insulation performance of composite wall has been realized; finally, the validity of proposed method is verified by simulation experiment.

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Titel: A rough set data prediction method based on neural network evaluation and least squares fusion
verfasst von: Xi Fei
Sun Youfu
Ruan Xuejun
Publikationsdatum: 26.03.2018
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe Sonderheft 5/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-018-2641-x

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