Notice of Retraction: Research on the Theory Framework of Project Construction Management Process Reengineering

Li, Ming; Li, Lei; Feng, Jingchun

doi:10.1109/icmss.2010.5577224

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…Artificial neural network, ANN, has the characteristic of the human's thinking and the functions of self-learning, self-adaptability and self-organization and the advantages of good adaptability and objectivity when applied to pattern classification and identification, ANN has been widely used in the areas of system control and prediction, etc. [6]. The essays [3,7] discussed the assessment via taking advantage of RBF and BP, back propagation, neural network respectively, and compared the methods with fuzzy comprehensive evaluation method, etc, suggesting that ANN could get good results when was applied to the assessment.…”

Section: Introductionmentioning

confidence: 99%

Fitting and Prediction of City’s API Based on RBF and Application of CCRBF Model in Atmosphere Environmental Quality

Gong

Sun

Jin

2012

AMR

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In this essay, the atmosphere environmental quality assessment of Guiyang was set as an example. A RBF model of the time series of API was built to fit and evaluate urban API on the basis of the concentration of 、 and inhalable particulate matter(PM10) in atmosphere. A CCRBF model used to test and predict atmosphere environmental quality was proposed by coupling canonical correlation analysis and RBF neural network based on various factors influencing urban atmosphere environmental quality. The analysis showed that the CCRBF simplified the quantity of factors effectively and was of higher fitting and prediction accuracies than regression model.

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Section: Introductionmentioning

confidence: 99%