Study on Foundation Pit Construction Cost Prediction Based on the Stacked Denoising Autoencoder
To accurately predict the construction costs of foundation pit projects, a model based on the stacked denoising autoencoder (SDAE) is constructed in this work. The influencing factors of foundation pit project construction costs are identified from the four attributes of construction cost management...
Main Authors: | Lanjun Liu, Denghui Liu, Han Wu, Junwu Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/8824388 |
Similar Items
-
Denoising stacked autoencoders for transient electromagnetic signal denoising
by: F. Lin, et al.
Published: (2019-03-01) -
Using Stacked Denoising Autoencoder for the Student Dropout Prediction
by: Pan Chia Wei, et al. -
Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder
by: Zexin Li, et al.
Published: (2020-01-01) -
Remote Sensing Image Classification Based on Stacked Denoising Autoencoder
by: Peng Liang, et al.
Published: (2017-12-01) -
Clustering Mixed Data Based on Density Peaks and Stacked Denoising Autoencoders
by: Baobin Duan, et al.
Published: (2019-02-01)