A Novel Variable Step Size LMS Algorithm Based On Neural Network Anyang Zhang Ningsheng Gong College of Information Science and Engineering, Nanjing University of Technology, Nanjing 210009, P. R. ChinaAbstract This paper presents a new variable step size LMS algorithm based on neural network (BP...
“A dual-stage attention-based recurrent neural network for time series prediction,” in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017, 2017, pp. 2627–2633. [10] L. Liu, J. Shen, M. Zhang, Z...
Abstract: In view of the poor results of pedestrian recognition with millimeter wave radar and the inaccuracy of camera in distance detection, a novel pedestrian detection method based on neural network and data fusionis proposed in this paper. The neural network algorithm is used to screen in th...
The advent of neural networks brought a new dawn to error correction decoding. In this paper, an efficient decoding scheme of surface-GKP codes based on neural network decoder is proposed (the specific construction process of neural networks can be found in the literature). To accommodate the ...
For lens distortion correction, on the basis of analyzing the traditional correction methods, a distortion correction method based on radial basis function neural network is proposed. Using the excellent nonlinear mapping ability of RBF neural network, the distortion correction models of different lenses...
图像融合论文阅读:IFCNN: A general image fusion framework based on convolutional neural network Qiang42 瞎分析协会名誉副会长 4 人赞同了该文章 目录 收起 论文解读 关键词 核心思想 网络结构 损失函数 数据集 训练设置 实验 评价指标 Baseline 实验结果 传送门 图像融合相关论文阅读笔记 图像融合论文baselin...
extract local enclosing subgraphs around links as the training data, and use a fully-connected neural network to learn which enclosing subgraphs correspond to link existence high-order heuristics往往比跳数为1、2的performance更好,但high-order会让子图变得很大甚至变成整个图,时间和内存开销太大。(对应cont...
A convolutional neural network (CNN) is an important and widely utilized part of the artificial neural network (ANN) for computer vision, mostly used in the pattern recognition system. The most important applications of CNN are medical image analysis, im
Non-Liner Error Compensation of the New Vibration Accelermeter Based on Neural Network A new type of piezoelectric vibration acceleration sensor was studied, which sensitive element consists of cymbal transducer and a buffer chip. The nonline... L Rutao,L Denghua,T Hongxia,... - 《Ferroelectrics...
FingerNet: EEG Decoding of A Fine Motor Imagery with Finger-tapping Task Based on A Deep Neural Network FingerNet是一种专门用于细致MI分类的网络,利用了时间特征,在相同手部分类任务中表现出比EEGNet和DeepConvNet更好的性能。使用加权交叉熵损失函数来解决类别不平衡问题,减轻模型的偏向性预测。本文计划在未来...