Proceedings of The Eighth IEEE International On-Line Testing Workshop (IOLTW'02) Learning-Based On-Line Testing in Feedforward Neural Networks Isle of Bendor, France July 08-July 10 ISBN: 0-7695-1641-6
Learning-based on-line testing in feedforward neural networks (NNs) is discussed. After the convergence of the ordinary learning, the re-learning employing two sigmoid activation functions per neuron in the last layer of the NN is made. It sets up the range of erroneous potentials produced from the last layer, and enables us to detect faults without extra hardware.
Citation:
Naotake Kamiura, Kazuharu Yamato, Teijiro Isokawa, Nobuyuki Matsui, "Learning-Based On-Line Testing in Feedforward Neural Networks," ioltw, pp.180, Proceedings of The Eighth IEEE International On-Line Testing Workshop (IOLTW'02), 2002 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||