Scheduling-Reference-Cited by-同舟云学术

Scheduling

Published:1994 Issue: Volume: Page:159-193
ISSN:
Container-title:Artificial Neural Networks for Intelligent Manufacturing
language:
Short-container-title:

Author:

Cheung John Y.

Publisher

Springer Netherlands

Link

http://link.springer.com/content/pdf/10.1007/978-94-011-0713-6_8.pdf

Reference137 articles.

1. Aarts, E. and Korst, J. (1989) Simulated Annealing and Boltzmann Machines, Wiley, New York.

2. Abe, S. (1990) Convergence of the Hopfield neural networks with inequality, Proceedings of the International Joint Conference on Neural Networks — San Diego, III, 869–74.

3. Abe, S. (1991) Global convergence and suppression of spurious states of the Hopfield neural networks, Proceedings of the International Joint Conference on Neural Networks — Singapore, I, 936–40.

4. Ackley, D.H., Hinton, G.E. and Sejnowski, T.J. (1985) A learning algorithm for Boltzmann machines. Cognitive Science, 9, 147–69.

5. Adorf, H.M. and Johnston, M.D. (1990) A discrete stochastic neural network algorithm for constraint satisfaction problems, Proceedings of the International Joint Conference on Neural Networks — San Diego, III, 917–24.

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1. Artificial Intelligence and Integrated Intelligent Systems in Product Design and Development;Intelligent Knowledge-Based Systems;2005

2. Application of stochastic real-valued reinforcement neural networks to batch production rescheduling;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;1997-08-01