RANSAC algorithm with sequential probability ratio test for robust training of feed-forward neural networks

• Published in: The 2011 International Joint Conference on Neural Networks pp. 3256 - 3263
• Main Author: El-Melegy, M. T.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2011
• Subjects: Adaptation models; Approximation algorithms; Computational modeling; Data models; Neural networks; Robustness; Training

This paper addresses the problem of fitting a functional model to data corrupted with outliers using a multilayered feed-forward neural network (MFNN). Almost all previous efforts to solve this problem have focused on using a training algorithm that minimizes an M-estimator based error criterion. Ho...