共查询到20条相似文献，搜索用时 62 毫秒
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Xiaoye SUN;Liyan MA;Gongyan LI 《电子学报:英文版》2019,28(6):1108-1117
To solve the red jujube classification problem, this paper designs a convolutional neural network model with low computational cost and high classification accuracy. The architecture of the model is inspired by the multi-visual mechanism of the organism and DenseNet. To further improve our model, we add the attention mechanism of SE-Net. We also construct a dataset which contains 23,735 red jujube images captured by a jujube grading system. According to the appearance of the jujube and the characteristics of the grading system, the dataset is divided into four classes:invalid, rotten, wizened and normal. The numerical experiments show that the classification accuracy of our model reaches to 91.89%, which is comparable to DenseNet-121, InceptionV3, InceptionV4, and Inception-ResNet v2. Our model has real-time performance. 相似文献
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The high performance of the state-of-the-art deep neural networks(DNNs)is acquired at the cost of huge consumption of computing resources.Quantization of networks is recently recognized as a promising solution to solve the problem and significantly reduce the resource usage.However,the previous quantization works have mostly focused on the DNN inference,and there were very few works to address on the challenges of DNN training.In this paper,we leverage dynamic fixed-point(DFP)quantization algorithm and stochastic rounding(SR)strategy to develop a fully quantized 8-bit neural networks targeting low bitwidth training.The experiments show that,in comparison to the full-precision networks,the accuracy drop of our quantized convolutional neural networks(CNNs)can be less than 2%,even when applied to deep models evaluated on Image-Net dataset.Additionally,our 8-bit GNMT translation network can achieve almost identical BLEU to full-precision network.We further implement a prototype on FPGA and the synthesis shows that the low bitwidth training scheme can reduce the resource usage significantly. 相似文献
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本文描述了一种新的无线Mesh网(WMN)接人技术.分析了WMN平滑升级的混合结构及回传网的升级路线,讨论了下一代混合光和无线接入网的光回传网结构. 相似文献
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本文描述了一种新的无线Mesh网(WMN)接入技术.分析了WMN平滑升级的混合结构及回传网的升级路线,讨论了下一代混合光和无线接入网的光回传网结构. 相似文献
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Siya XU;Peng LI;Feng QI;Shaoyong GUO;Guiping ZHOU;Wei DENG;Yueyue LI 《电子学报:英文版》2019,28(6):1234-1243
Real-time network resource allocation based on virtualization technology is an important method to solve the solidification problem of Fiber-wireless (FiWi) access networks. To increase the resource utilization and meet the specific QoS requirements of smart gird communication services, a Load-balancing and QoS based dynamic resource allocation method (LbQ-DR) is proposed with three sub-mechanisms. A time-window based substrate network resource update mechanism is designed to describe the realtime resource consumption of substrate networks, which can balance the accuracy of resource status and the complexity of the allocation algorithm. A QoS-based Virtual network request (VNR) sorting mechanism is presented to precisely calculate the priority of VNRs and reasonably sort the incoming services. A load-balancing based resource allocation mechanism is designed to avoid unbalanced resource consumption. Especially, the channel interference is considered in the cost of embedding and a collision domain mechanism is introduced to decrease interference. Simulation results demonstrate that the proposed method can provide heterogeneous smart grid businesses with differentiated service, improve the utilization and economic benefits of the network and make the network more balanced. 相似文献
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癫痫是一种常见的神经系统疾病,影响着全世界近1％的人.越来越多的人认识到,采用癫痫发作预警的闭环治疗策略,可以在一定程度上控制癫痫的发作.本文主要基于Kaggle癫痫预测EGG数据集,同时采用深度学习模型,对预测癫痫发作前片段的概率问题进行了实验性的研究.研究通过离散傅里叶变换(DFr)对数据集进行了预处理,并提出了利... 相似文献
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Bei Wu;Zhan-Lei Hao;Jin-Hui Chen;Qiao-Liang Bao;Yi-Neng Liu;Huan-Yang Chen 《电子科技学刊:英文版》2022,20(1):100146
Total transmission plays an important role in efficiency improvement and wavefront control,and has made great progress in many applications,such as the optical film and signal transmission. Therefore,many traditional physical methods represented by transformation optics have been studied to achieve total transmission. However,these methods have strict limitations on the size of the photonic structure,and the calculation is complex. Here,we exploit deep learning to achieve this goal. In deep learning,the data-driven prediction and design are carried out by artificial neural networks (ANNs),which provide a convenient architecture for large dataset problems. By taking the transmission characteristic of the multi-layer stacks as an example,we demonstrate how optical materials can be designed by using ANNs. The trained network directly establishes the mapping from optical materials to transmission spectra,and enables the forward spectral prediction and inverse material design of total transmission in the given parameter space. Our work paves the way for the optical material design with special properties based on deep learning.View The PDF 相似文献
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将神经网络应用于字符识别,对BP网络和经遗传算法演化后的BP网络进行比较研究.计算结果表明,在训练效果与识别效果两个方面,遗传算法演化后的网络具有更好的识别效果,并能够大幅度提高网络训练时的收敛速度.通过理论分析其原因后得出结论,利用遗传算法做字符识别具有更优的性能. 相似文献
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本文提出一种用于大类别模式识别系统的改进的自组织聚类方法，采用这种方法把３７５５种多体印刷汉字聚类为几午个子集。聚类正确率优于９８％。 相似文献
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ZHANG Guangyuan LI Jingjiao WANG Aixia 《现代电子技术》2007,30(1):118-120
The Manchu character recognition method based on Manchu character unit is an efficient method. In this method, the recognition accuracy rate of Manchu character unit has great influence on the final recognition result. As new approach to solve this problem,a hybrid wavelet neural network scheme has been developed as an assistant method combine with the original combo - distance method. Due to the properties of the wavelet neural network,the training problem can be transformed into a convex optimization process,therefore the global minimum can be obtained and the learning speed is increases. Both the learning samples set and testing samples set are used, experimental results demonstrate the combine method based on the wavelet neural network is more efficient than the single combo - distance method. 相似文献
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基于Android的手机OCR识别技术设计与实现 总被引：3，自引：0，他引：3
介绍了OCR文字处理和识别的工作原理,以及OCR运用在手机平台的优越性。设计了基于Android的OCR中英文识别日程小秘书软件,重点对OCR识别软件的功能进行分析,并设计实现方案,最终完成了OCR日程提醒功能。经过对软件系统功能的测试,结果表明,OCR识别软件在功能上能完成日常的文字识别与提取。 相似文献
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基于模板匹配算法的字符识别研究 总被引：2，自引：2，他引：2
文中提出了一种基于模板匹配的字符识别算法。该算法在对输入的字符进行预处理的基础上对字符进行特征量提取,预先将字符分成若干个集合;然后再对各集合中的字符进行模板匹配,最终对字符做出判决。试验结果表明,模板匹配算法保证了字符识别的正确率,而对字符进行预分类,则缩小了模板匹配的字符对象范围,弥补了模板匹配算法对于大量字符耗时多的缺点。 相似文献
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本文发现并以定理的形式证明了具有异号权重模板的细胞神经网络系统在非均匀增益分段性输函数下的细 化稳态性性。 相似文献
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为了解决在阅读过程中能够方便快速查阅生僻词汇以及录入存储中英文资料等问题,本文以DSP(Digital Siggal Processor)为核心处理器研发了一套电子阅读笔系统.该系统将光学扫描、脱机文字识别和中英互译技术嵌入小型设备,实现了印刷体文字从扫描、识别到翻译的全部功能.实验表明该系统设计方案可行,工作稳定.文中介绍了硬件和软件系统的设计和构成,并详细讨论部分算法的实现原理. 相似文献