<listing id="kephd"></listing>
<tt id="kephd"></tt>

  • <label id="kephd"></label>
    <meter id="kephd"></meter>

    云南民族大學學報(自然科學版)

    2020, v.29;No.124(06) 592-600

    [打印本頁] [關閉]
    本期目錄(Current Issue) | 過刊瀏覽(Past Issue) | 高級檢索(Advanced Search)

    西波手寫文字識別的元學習方法
    A meta-learning method for the recognition of Xibo handwritten characters

    何翠玲;楊柱元;唐軼;蔣作;
    HE Cui-ling;YAN Zhu-yuan;TAN Yi;JIANG Zuo;School of Mathematics and Computer Science, Yunnan Minzu University;

    摘要(Abstract):

    研究西波手寫文字智能識別是保護和傳承彝族古老文獻資料的一項重要研究工作.西波手寫文字收集困難,基于神經網絡的智能識別技術難以直接應用于西波手寫文字智能識別.針對西波手寫文字樣本少的特點,提出了MANN(memory augemented neural networks,記憶增強網絡)的元學習方法.在小樣本條件下,該方法能提高西波手寫文字的智能識別精度.實驗結果顯示,引入元學習方法后,不僅明顯縮短了識別算法訓練時間,而且顯著提高了識別精度.
    The research on the intelligent recognition of Xibo handwritten characters is an important work to protect and inherit the ancient documents of the Yi nationality. Due to the difficulty in collecting Xibo handwritten texts, it is no easy to apply directly the intelligent recognition technology based on neural networks to the intelligent recognition of Xibo handwritten characters. With a consideration of the small samples of Xibo handwritten characters in the database, a meta-learning method of MANN(Memory Augmented Neural Networks) is proposed to improve the intelligent recognition accuracy of Xibo handwritten characters. The experimental results show that this meta-learning method not only significantly reduces the training time for the recognition algorithm, but also much improves the recognition accuracy.

    關鍵詞(KeyWords): 西波手寫文字識別;小樣本;記憶增強網絡;元學習
    recognition of Xibo handwritten characters;few-shot;memory augmented neural networks;meta-learning

    Abstract:

    Keywords:

    基金項目(Foundation): 國家自然科學基金(61866040,11361076)

    作者(Author): 何翠玲;楊柱元;唐軼;蔣作;
    HE Cui-ling;YAN Zhu-yuan;TAN Yi;JIANG Zuo;School of Mathematics and Computer Science, Yunnan Minzu University;

    Email:

    DOI:

    參考文獻(References):

    擴展功能
    本文信息
    服務與反饋
    本文關鍵詞相關文章
    本文作者相關文章
    中國知網
    分享
    免费资料大全