Commenced in January 2007
Paper Count: 30174
Robust Artificial Neural Network Architectures
Authors: A. Schuster
Abstract:Many artificial intelligence (AI) techniques are inspired by problem-solving strategies found in nature. Robustness is a key feature in many natural systems. This paper studies robustness in artificial neural networks (ANNs) and proposes several novel, nature inspired ANN architectures. The paper includes encouraging results from experimental studies on these networks showing increased robustness.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1078255Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1016
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