@article{oai:ipu.repo.nii.ac.jp:00000623,
 author = {木戸, 和彦 and 福田, 衣里 and 橋本, 信一 and 岡崎, 弘信 and KIDO, Kazuhiko and FUKUDA, Eri and HASHIMOTO, Shinichi and OKAZAKI, Hironobu},
 journal = {環太平洋大学研究紀要, BULLETIN OF INTERNATIONAL PACIFIC UNIVERSITY},
 month = {Mar},
 note = {At the fifty-first national conference of the Japan Association for Language Education and Technology (LET), we reported the possibility of using a neural network to make short-term predictions of language test scores if they are in a chaotic time-series. At that time, one possible area for further development was increasing the accuracy of the prediction. In our presentation, we will discuss the utility of improving accuracy by applying Takens’ theorem to the short-term chaotic time-series prediction using the well-known Backpropagation Method.},
 pages = {25--33},
 title = {Short-term Prediction of a Test Score Using the BP Method with Takens’ Embedding Theorem in a Neural Network},
 volume = {14},
 year = {2019},
 yomi = {キド, カズヒコ and フクダ, エリ and ハシモト, シンイチ and オカザキ, ヒロノブ}
}