Neural networks for computing eigenvalues and eigenvectors

This publication has 14 references indexed in Scilit:

• Neural networks for solving systems of linear equations and related problems
  IEEE Transactions on Circuits and Systems I: Regular Papers, 1992
• Winner-take-all neural network and its application to minimax optimisation problems
  Electronics Letters, 1991
• A neural network for computing eigenvectors and eigenvalues
  Biological Cybernetics, 1991
• Switched‐capacitor neural networks for differential optimization
  International Journal of Circuit Theory and Applications, 1991
• Systolic designs for eigenvalue-eigenvector computations using matrix powers
  Parallel Computing, 1990
• Tracking a few extreme singular values and vectors in signal processing
  Proceedings of the IEEE, 1990
• Unconstrained Variational Principles for Eigenvalues of Real Symmetric Matrices
  SIAM Journal on Mathematical Analysis, 1989
• Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit
  IEEE Transactions on Circuits and Systems, 1986
• On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
  Journal of Mathematical Analysis and Applications, 1985
• Neurons with graded response have collective computational properties like those of two-state neurons.
  Proceedings of the National Academy of Sciences, 1984