%0 Journal Article %1 journals/tnn/PeperN96 %A Peper, Ferdinand %A Noda, Hideki %D 1996 %J IEEE Trans. Neural Networks %K dblp %N 4 %P 1042-1047 %T A symmetric linear neural network that learns principal components and their variances. %U http://dblp.uni-trier.de/db/journals/tnn/tnn7.html#PeperN96 %V 7

@article{journals/tnn/PeperN96, added-at = {2018-11-14T00:00:00.000+0100}, author = {Peper, Ferdinand and Noda, Hideki}, biburl = {https://www.bibsonomy.org/bibtex/28d7a01263ff99d9ce9541fcb71c6bc4e/dblp}, ee = {https://www.wikidata.org/entity/Q52203094}, interhash = {51f0ebf29234c21176e2b20a7a9ba506}, intrahash = {8d7a01263ff99d9ce9541fcb71c6bc4e}, journal = {IEEE Trans. Neural Networks}, keywords = {dblp}, number = 4, pages = {1042-1047}, timestamp = {2018-11-15T11:47:26.000+0100}, title = {A symmetric linear neural network that learns principal components and their variances.}, url = {http://dblp.uni-trier.de/db/journals/tnn/tnn7.html#PeperN96}, volume = 7, year = 1996 }