Multiscale optimization in neural nets


One way to speed up convergence in a large optimization problem is to introduce a smaller, approximate version of the problem at a coarser scale and to alternate between relaxation steps for the fine-scale and coarse-scale problems. Such an optimization method for neural networks governed by quite general objective functions is presented. At the coarse… (More)
DOI: 10.1109/72.80337


Cite this paper

@article{Mjolsness1991MultiscaleOI, title={Multiscale optimization in neural nets}, author={Eric Mjolsness and Charles Garrett and Willard L. Miranker}, journal={IEEE transactions on neural networks}, year={1991}, volume={2 2}, pages={263-74} }