Determination of power system topological observability using the Boltzmann machine

This publication has 16 references indexed in Scilit:

• Screening power system contingencies using a back-propagation trained multiperceptron
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,2003
• Application of neural-network computing in intelligent alarm processing (power systems)
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,2003
• Neural-net based real-time control of capacitors installed on distribution systems
  IEEE Transactions on Power Delivery, 1990
• Artificial neural-net based dynamic security assessment for electric power systems
  IEEE Transactions on Power Systems, 1989
• “Neural” computation of decisions in optimization problems
  Biological Cybernetics, 1985
• A Learning Algorithm for Boltzmann Machines*
  Cognitive Science, 1985
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,1984
• Neurons with graded response have collective computational properties like those of two-state neurons.
  Proceedings of the National Academy of Sciences, 1984
• Optimization by Simulated Annealing
  Science, 1983
• Neural networks and physical systems with emergent collective computational abilities.
  Proceedings of the National Academy of Sciences, 1982