@article{(Open Science Index):https://publications.waset.org/pdf/11954, title = {Robust Artificial Neural Network Architectures}, author = {A. Schuster}, country = {}, institution = {}, 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.}, journal = {International Journal of Computer and Information Engineering}, volume = {2}, number = {6}, year = {2008}, pages = {2098 - 2104}, ee = {https://publications.waset.org/pdf/11954}, url = {https://publications.waset.org/vol/18}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 18, 2008}, }