On multicollinearity and artificial neural networks
One of the many problems encountered in coming up with a multiple linear regression model with estimates of continuous parameters is the presence of severe multicollinearity in the data set. In this paper, the focus is on the mathematics of multicollinearity - what it is, what it does to the model,...
Saved in:
Main Authors: | Carpio, Kristine Joy E., Hermosilla, Augusto Y. |
---|---|
Format: | text |
Published: |
Animo Repository
2006
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/13445 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
The Future of Artificial Neural Networks and Speech Recognition
by: LIANG, Qianhui (Althea), et al.
Published: (2002) -
Development of an Electronic Nose for Olfactory System Modelling using Artificial Neural Network
by: Fernandez, Proceso L, Jr, et al.
Published: (2018) -
Residential construction demand forecasting using economic indicators: A comparative study of artificial neural networks and multiple regression
by: Hua, G.B.
Published: (2013) -
Advances in Memristor-Based Neural Networks
by: Xu, W., et al.
Published: (2022) -
Estimating willingess to pay for urban water supply: A comparison of artificial neural networks and multiple regression analysis
by: Ranasinghe, M., et al.
Published: (2013)