%0 Journal Article %1 POLHILL20011035 %A Polhill, J.Gary %A Weir, Michael K. %D 2001 %J Neural Networks %K ExhaustiveSearch Generalization NeuralNetworks TargetReversal myown %N 8 %P 1035 - 1048 %R https://doi.org/10.1016/S0893-6080(01)00061-2 %T An approach to guaranteeing generalisation in neural networks %U http://www.sciencedirect.com/science/article/pii/S0893608001000612 %V 14 %X A novel approach to generalisation is presented that is able, under certain circumstances, to guarantee the generalisation to binary-output data for which no targets have been given. The basis of the guarantee is the recognition of a persistent global minimum error solution. An empirical test for whether the guarantee holds is provided which uses a technique called target reversal. The technique employs two neural networks whose convergence using opposing targets signals validity of the guarantee.

@article{POLHILL20011035, abstract = {A novel approach to generalisation is presented that is able, under certain circumstances, to guarantee the generalisation to binary-output data for which no targets have been given. The basis of the guarantee is the recognition of a persistent global minimum error solution. An empirical test for whether the guarantee holds is provided which uses a technique called target reversal. The technique employs two neural networks whose convergence using opposing targets signals validity of the guarantee.}, added-at = {2019-11-18T11:40:42.000+0100}, author = {Polhill, J.Gary and Weir, Michael K.}, biburl = {https://www.bibsonomy.org/bibtex/204f97f5c6a72a2d66a409efb78a667e5/garypolhill}, description = {An approach to guaranteeing generalisation in neural networks - ScienceDirect}, doi = {https://doi.org/10.1016/S0893-6080(01)00061-2}, interhash = {9b096623d753c910c0e802d4dd2e03e7}, intrahash = {04f97f5c6a72a2d66a409efb78a667e5}, issn = {0893-6080}, journal = {Neural Networks}, keywords = {ExhaustiveSearch Generalization NeuralNetworks TargetReversal myown}, number = 8, pages = {1035 - 1048}, timestamp = {2019-11-18T11:40:42.000+0100}, title = {An approach to guaranteeing generalisation in neural networks}, url = {http://www.sciencedirect.com/science/article/pii/S0893608001000612}, volume = 14, year = 2001 }