@inproceedings{3b405fc97d8e46b8841878842f13b6fb,
title = "Hardware annealing for fast retrieval of optimal solutions in Hopfield neural networks",
abstract = "Due to the feedback characteristics of Hopfield networks, the solutions often get stuck at local minima where the objective functions have surrounding barriers. The theory and procedure of hardware annealing, which can retrieve the optimal solution in parallel, have been developed. In hardware annealing, voltage gains of output neurons in asynchronous VLSI neural chips are increased from an initial low value to a final high value in a continuous fashion. Hardware annealing can be applied to pure analog and mixed analog-digital neurocomputing systems. It achieves a speed-up factor of more than 10,000 times over simulated annealing on a SUN-3/60 workstation.",
author = "Sheu, {Bing J.} and Lee, {Bang W.} and Chang, {Chia Fen}",
year = "1992",
language = "英语",
isbn = "0780301641",
series = "Proceedings. IJCNN - International Joint Conference on Neural Networks",
publisher = "Publ by IEEE",
pages = "327--332",
editor = "Anon",
booktitle = "Proceedings. IJCNN - International Joint Conference on Neural Networks",
note = "International Joint Conference on Neural Networks - IJCNN-91-Seattle ; Conference date: 08-07-1991 Through 12-07-1991",
}