Robust Artificial Neural Network Architectures
| Main Author: | A. Schuster |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2008
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/1078255 |
Daftar Isi:
- 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.