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...
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 ...
2015-03-23上传 基于神经网络的强化学习算法研究 RESEARCH ON A REINFORCEMENT LEARNING ALGORITHM BASED ON NEURAL NETWORK 文档格式: .pdf 文档大小: 201.52K 文档页数: 5页 顶/踩数: 0/0 收藏人数: 0 评论次数: 0 文档热度: 文档分类: 幼儿/小学教育--教育管理 ...
该论文是【基于CNN】的图像融合方法。网络模型是【端到端】,适用于【多类型图像融合任务】,从【多聚焦图像融合】展开。 此外,作者还发布了新的数据集。 关键词 General image fusion framework 通用图像融合框架 Convolutional neural network 卷积神经网络 Large-scale multi-focus image dataset 大规模多聚焦图像数据...
A general stock prediction model based on neural networks New 20230522 经过长时间的训练,分析和学习,我深深感觉到单纯使用lstm和transformer进行价格的预测是相当的困难。我下面的更新方向将向三个方向进行:一是开发一种新的模型以更加适配金融预测的特点; 二是继续完成NLP方向的情感分析,做到分析大众和专业机构的恐...
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
- 《Ieej Transactions on Electronics Information & Systems》 被引量: 2发表: 2004年 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...
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...