LSTM-SNP首次结合非线性SNP和长短期记忆神经网络(LSTM),从而形成门控机制可解释的深度学习通用模型。LSTM-SNP作为传统序列分析模型LSTM的最新变体,在处理典型自然语言处理序列分析问题的性能表现未见相关研究。文章以命名实体识别任务为基础,通过在LSTM-SNP上增补不同的深度学习组件,对LSTM-SNP与传统LSTM以及其变体BiLSTM...
LSTM-SNP: A long short-term memory model inspired from spiking neural P systems - ScienceDirectQian Liu aLifan Long aQian Yang aHong Peng aJun Wang bXiaohui Luo aKnowledge-Based Systems
Named Entity Recognition Based on the LSTM-SNP DENG Qin, CHEN Xiaoliang, , CHEN Longqi School of Computer and Software Engineering, Xihua University, Chengdu 610039 China Corresponding author: CHEN Xiaoliang,chenxl@mail.xhu.edu.cn 施引文献 摘要 HTML全文 图(9) 表(4) 参考文献(22) ...
SVM帕金森帕金森病(Parkinson's disease,PD)是仅次于阿茨海默病的第二大类神经系统变性疾病,常发于中老年人群,准确诊断PD具有重要意义.本文提出基于单核苷酸多态性(SNP)数据的LSTM-SVM模型用于诊断帕金森疾病,首先使用LSTM网络学习SNP数据的潜在表达特征并提取出关键特征;其次使用提取后的特征作为输入,使用SVM用于疾病诊断....
LSTM-SNP is a variant of long short-term memory (LSTM) inspired by the nonlinear spiking mechanism in nonlinear spiking neural systems. In order to improve the efficiency and diversity of user-edited comments, we design a novel assistant based on the LSTM-SNP model. The assistant consists of...