A Novel Approach for Outlier Detection and Robust Sensory Data Model Learning

Accepted for publication in IROS 2019- International Conference on Intelligent Robots and Systems

Description:

The robust algorithm for nonlinear regression with ANN

In this work we developed a novel algorithm for nonlinear regression with Artificial Neural Networks (ANN) capable of rejecting outliers in the dataset and thus improve the modelling.

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