Robust Artificial Neural Network Architectures

نویسنده

  • A. Schuster
چکیده

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. Keywords—robustness, robust artificial neural networks architectures.

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تاریخ انتشار 2007