Name
Title | ||
|---|---|---|
A hybrid feedforward neural network algorithm for detecting outliers in non-stationary multivariate time series |
Abstract | ||
|---|---|---|
•The presence of outliers can lead to model misspecification and poor forecasts.•A new outlier detection algorithm using feedforward neural networkis given.•The proposed algorithm does not require a priori knowledge of model parameters.•The proposed algorithmperforms well for detecting outliers in small & large clusters. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115545 | Expert Systems with Applications |
Keywords | DocType | Volume |
Feedforward neural network,Mahalanobis distance,Non-stationary time series,Outlier detection,Robust estimate | Journal | 184 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gajendra K. Vishwakarma | 1 | 3 | 5.12 |
| Chinmoy Paul | 2 | 1 | 1.04 |
| Ahmed M. Elsawah | 3 | 0 | 0.34 |