Simulated annealing of neural networks: The 'cooling' strategy reconsidered
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[1] Andrew B. Kahng,et al. Exploiting fractalness of error surfaces: New methods for neural network learning , 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.
[2] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[3] Shirley Dex,et al. JR 旅客販売総合システム(マルス)における運用及び管理について , 1991 .
[4] Lloyd S. Riggs,et al. Research with the Waveguide Beyond Cutoff or Separated Aperture Dielectric Anomaly Detection Scheme , 1990 .
[5] N. Biggs. THE TRAVELING SALESMAN PROBLEM A Guided Tour of Combinatorial Optimization , 1986 .
[6] Alistair I. Mees,et al. Convergence of an annealing algorithm , 1986, Math. Program..
[7] Carsten Peterson,et al. A Mean Field Theory Learning Algorithm for Neural Networks , 1987, Complex Syst..
[8] Geoffrey E. Hinton. Deterministic Boltzmann Learning Performs Steepest Descent in Weight-Space , 1989, Neural Computation.
[9] B. W. Lee,et al. Electronic neural circuits with simulated annealing , 1989, International 1989 Joint Conference on Neural Networks.
[10] D. F. Wong,et al. Simulated Annealing for VLSI Design , 1988 .
[11] Bruce E. Hajek,et al. Cooling Schedules for Optimal Annealing , 1988, Math. Oper. Res..
[12] Etienne Barnard,et al. Optimization for training neural nets , 1992, IEEE Trans. Neural Networks.
[13] David E. van den Bout,et al. Graph partitioning using annealed neural networks , 1990, International 1989 Joint Conference on Neural Networks.
[14] V. Cerný. Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm , 1985 .
[15] Emile H. L. Aarts,et al. Simulated annealing and Boltzmann machines - a stochastic approach to combinatorial optimization and neural computing , 1990, Wiley-Interscience series in discrete mathematics and optimization.
[16] John E. Dennis,et al. Numerical methods for unconstrained optimization and nonlinear equations , 1983, Prentice Hall series in computational mathematics.
[17] Andrew B. Kahng. Random structure of error surfaces: toward new stochastic learning methods , 1992, Defense, Security, and Sensing.
[18] Emile H. L. Aarts,et al. Simulated Annealing: Theory and Applications , 1987, Mathematics and Its Applications.
[19] Wesley E. Snyder,et al. Mean field annealing: a formalism for constructing GNC-like algorithms , 1992, IEEE Trans. Neural Networks.
[20] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.