神经广告学:让广告不可拒绝   总被引：1，自引：0，他引：1  

张子旭 《国际新闻界》2012,(1):73-76

本文对传统的"间接式"广告效果测评方式所存在的缺陷进行了阐述,并指出了以脑成像技术为代表的"直接式"测评方式才能更准确的评价广告效果。在此基础上,首次提出了"神经广告学"的概念,并依据起源、学科性质及研究重点与"神经营销学"作了辨析;同时,对神经广告学的前景做出了展望。神经广告学相信消费者对广告刺激的反应和脑部特定神经活动之间都是有一一对应关系的,目标也是要逐步确认这些对应关系。在应用层面的远景是创造出符合受众大脑神经活动规律、使其无法拒绝的广告。  相似文献   

Contrastive Graph Convolutional Networks with adaptive augmentation for text classification     

《Information processing & management》2022,59(4):102946

Text classification is an important research topic in natural language processing (NLP), and Graph Neural Networks (GNNs) have recently been applied in this task. However, in existing graph-based models, text graphs constructed by rules are not real graph data and introduce massive noise. More importantly, for fixed corpus-level graph structure, these models cannot sufficiently exploit the labeled and unlabeled information of nodes. Meanwhile, contrastive learning has been developed as an effective method in graph domain to fully utilize the information of nodes. Therefore, we propose a new graph-based model for text classification named CGA2TC, which introduces contrastive learning with an adaptive augmentation strategy into obtaining more robust node representation. First, we explore word co-occurrence and document word relationships to construct a text graph. Then, we design an adaptive augmentation strategy for the text graph with noise to generate two contrastive views that effectively solve the noise problem and preserve essential structure. Specifically, we design noise-based and centrality-based augmentation strategies on the topological structure of text graph to disturb the unimportant connections and thus highlight the relatively important edges. As for the labeled nodes, we take the nodes with same label as multiple positive samples and assign them to anchor node, while we employ consistency training on unlabeled nodes to constrain model predictions. Finally, to reduce the resource consumption of contrastive learning, we adopt a random sample method to select some nodes to calculate contrastive loss. The experimental results on several benchmark datasets can demonstrate the effectiveness of CGA2TC on the text classification task.  相似文献   

Assessment in the Evaluation of Self-Regulation as a Process     

Eduardo Cascallar  Monique Boekaerts  Tracy Costigan 《Educational Psychology Review》2006,18(3):297-306

The role of assessment is central to the current work in the field of self-regulation research, to the conceptualizations derived from empirical work, and to the operationalisation of its concepts in individual and classroom implementations. The various instantiations of the concept of self-regulation, all presuppose a detailed accounting of many different components, with each of them being represented by a variety of proxy variables which can be measured to establish the appropriate level at which the individual or group in question is functioning or performing. A review of the literature reveals a very diverse set of models and assessment instruments, many attempting to establish constructs with serious definitional problems, and conceptual overlaps. It is necessary then to establish their validity and the exact nature of their participation, as well as a clear differentiation between them. The assessment instruments which have been used so far are equally diverse, addressing the demands of the various components of the self-regulation models used and the different aspects emphasized in the research, including socio-cultural, cognitive, and volitional aspects. It is essential, to study carefully the relationship between assessment and the elements of the self-regulation process. This careful analysis will lead to a refinement of the instruments used, to the development of appropriate assessment methodologies and strategies, and to a richer conceptualization of the self-regulatory process (SR) based on empirical assessment data to inform the theory and model construction.  相似文献   

Determining heating pipe temperature in greenhouse using proportional integral plus feedforward control and radial basic function neural-networks     

余朝刚应义斌  王剑平杨佳 《浙江大学学报(A卷英文版)》2005,6(4):265-269

INTRODUCTION The objective of greenhouse environment controlis to create an ideal climatic condition for plant growth.The interior air temperature is the most importantcontrol factor. Generally, heating facilities must beinstalled in the greenhouse in order to make the inte-rior air meet the need of the crop in cold days. Hotwater heating is the prevailing method. In order tosave energy, precise temperature control is necessary(Chalabi et al., 1996). For precise control of interior…  相似文献   

HNNs DCNNs BAM研究进展(Ⅱ)     

陈安平 《湘南学院学报》2003,24(5):5-19

本文介绍Hopfield神经网络(HNNs),细胞神经网络(CNNs,DCNNs)和双向联想记忆神经网络(BAM)等的最近研究成果.  相似文献   

Science Letters:Brain metastases of melanoma-mechanisms of attack on their defence system by engineered stem cells in the microenvironment     

DIMITROV Borislav D.  ATANASSOVA Penka A.  RACHKOVA Mariana I. 《Journal of Zhejiang University. Science. B》2007,(9)

This report gives a better emphasis on the role of targeted effectors (e.g. a combination of 5-FC with CD-NSPCs as compared to the application of NSPCs alone) and how such delivery of pro-drug activating enzymes and other tumor-killing substances may overcome melanocytic defence system, interact with and promote the host defence and immune response modulations not only in melanoma but, potentially, in other highly-metastatic cancers.  相似文献   

基于专家系统和神经网络集成的植物智能分类系统     

胡伟  李霞  钟乐海 《宜宾学院学报》2005,5(12):69-72

专家系统和神经网络是计算机人工智能应用的两大分支.目前,这两大分支的发展均表现出各自存在的问题,如专家系统知识获取的“饼颈“问题和神经网络知识表示的“黑葙结构“问题.在植物智能分类系统中单独使用神经网络或传统专家系统技术都有其局限性,二者必须相互取长补短,将神经网络与专家系统相结合是开发植物智能分类系统的一条比较切实有效的途径.本文将专家系统和神经网络进行集成,达到优势互补的目的,并且采用了改进的神经网络分类算法,有效的克服了传统的植物智能分类系统的不足,从而更加全面的、科学的、合理的对植物进行分类.  相似文献   

基于小波神经网络的NLAR(p)过程的逼近     

康会光  连颖颖 《安阳师范学院学报》2005,(5):4-5,8

小波神经网络是近年来发展起来的一种逼近非线性函数的新型人工神经网络.特别是,正交尺度函数为基函数的小波神经网络更适合于函数逼近.本文在此基础上讨论了小波神经网络对非线性AR(p)过程的逼近.  相似文献   

基于TDNN的线性噪声消除器     

李萍  王翠兰 《南阳师范学院学报》2005,4(6):42-44

提出基于TDNN神经网络的线性噪声消除器，讨论了它的模型与学习算法及其通用逼近性．该噪声滤除器具有神经网络分布式并行信息处理能力，利用TDNN逼近噪声，然后从测量中消去噪声得到有用信号，具有较好的鲁棒性和除噪性能。  相似文献   

Neural network approach for modification and fitting of digitized data in reverse engineering     

鞠华  王文  谢金  陈子辰 《Journal of Zhejiang University. Science. B》2004,(1)

INTRODUCTIONGrowingglobalcompetitionrequiresmanu facturerstodelivermorecompetitiveproductswithbetterqualityandlowerprices.Reducingtheproductdevelopmentperiodoftheproductisoneofthemostimportantandchallengingtasksfacedbythemanufacturingindustry .Thetradi tionalproductionpatternthatproductsarepro ducedfromthedrawingcannotsatisfytherequirementofmodernmanufacturingindustry .Thedesignofproductscontainingcomplexsculp turedsurfacessometimesstartswithaclaymodelorotherexistingparts.Theprocessofdeve…  相似文献