Disturbance Magnitude Estimation using Artificial Neural Network Method.
Joko HartonoPutu Agus Aditya PramanaHandrea Bernando TambunanBuyung Sofiarto MunirPublished in: ICEEI (2019)
Keyphrases
- using artificial neural networks
- dynamic programming
- computational cost
- data sets
- high accuracy
- computationally efficient
- significant improvement
- experimental evaluation
- least squares
- estimation accuracy
- synthetic data
- artificial neural networks
- theoretical analysis
- computational complexity
- classification method
- estimation algorithm
- objective function
- similarity measure