@article{oai:kyutech.repo.nii.ac.jp:02000241,
 author = {Tanaka, Yuichiro and 田中, 悠一朗 and Tamukoh, Hakaru and 田向, 権},
 journal = {IEICE Proceeding Series},
 month = {Sep},
 note = {This study proposes a reservoir computing model with multiple readouts and an associated training method to enhance the training capability of reservoir computing. This study conducts a speaker classification task and a word classification task using an audio dataset consisting of digits pronounced by six persons. The experimental results reveal that the proposed model with multiple readouts outperforms a conventional model with a single readout., 2023 International Symposium on Nonlinear Theory and Its Applications, NOLTA2023, September 26-29, 2023, Catania and Online},
 pages = {509--512},
 title = {Ensemble Learning of Multiple Readouts for Reservoir Computing},
 year = {2023}
}