传染病数学模型主要介绍了几种传染病模型的年建立并分析
2021-11-12 14:34:23 392KB 传染病 模型
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论文研究-突发事件的网络情绪传播机制及仿真研究.pdf,  互联网快速发展及其应用的日益普及, 给突发事件的应急管理带来许多新的挑战. 在网络空间, 突发事件的信息传播 往往伴随着强烈的情绪传播, 极易引发网民的群体情绪, 并由此可能导致极端和对立行为以及群体性事件等严重的次生社会问题. 论文从信息传播所引发的网民群体情绪传播及其群体行为出发, 研究了突发事件网络信息传播过程中网民群体的情绪传播机制,提出了突发事件中网民群体间的情绪传播模型, 并以著名社会特大事件为例进行了仿真分析. 实验结果表明, 上述模型能够较准确地反映突发事件信息传播过程中的网民群体情绪传播特征及其演化规律.
2021-11-11 19:57:13 1.25MB 论文研究
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网安实验
2021-11-11 18:02:21 213KB 计算机
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图形图像处理在媒介传播中的应用研究 (1).pdf
使用分步傅立叶方法进行脉冲演化仿真。 基于Robert Boyd的非线性光学和Govind Agrawal的非线性光纤理论。
2021-11-11 10:40:25 2KB matlab
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无线通信类不错的学习材料 This book has grown out of my teaching and research at the University of Surrey and out of my previous experiences in companies such as Philips, Ascom and Motorola. It is primarily intended for use by students in master’s level and enhanced final-year undergraduate courses who are specialising in communication systems and wish to understand the principles and current practices of the wireless communication channel, including both antenna and propagation aspects. I have therefore included examples and problems in each chapter to reinforce the material described and to show how they are applied in specific situations. Additionally, much of the material has been used as parts of short courses run for many of the leading industrial companies in the field, so I hope that it may also be of interest to those who have a professional interest in the subject. Although there are several excellent books which cover portions of this material and which go deeper in some areas, my main motivation has been to create a book which covers the range of disciplines, from electromagnetics to statistics, which are necessary in order to understand the implications of the wireless channel on system performance. I have also attempted to bring together reference material which is useful in this field into a single, accessible volume, including a few previously unpublished research results.
2021-11-11 07:15:50 13.72MB 无线通信 传播
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实验中,采用iris分类数据进行测试。其中共有4种特征,3种类别。设置的网络参数为输入层为4(特征数),隐藏层设置了1层。神经元个数为8,输出层为3(类别数),激活函数采用的是sigmoid函数。训练的时候设置的mini_batch_size大小为120(训练样本个数),迭代次数为2000,采用的权重更新策略为批量梯度下降法。最终得到的训练模型在测试数据上进行测试,测试的准确率为1。过程中的验证集准确率变化见图3。在迭代到达600次的时候基本已经稳定,说明该网络结构得到的准确率大致就在这个范围。
2021-11-10 22:47:07 6KB 反向传播算法 matlab iris数据集
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Web 2.0应用的理论基础及多样化实践——《教育传播与技术研究手册(第四版)》对信息化教学的启示.pdf
2021-11-10 16:04:54 1.39MB Web开发 开发技术 互联网 网页技术
Web2.0环境下体育赛事整合营销传播研究——基于利益相关者视角.pdf
2021-11-10 16:04:52 7.51MB Web开发 开发技术 互联网 网页技术
传播学期末考试题目.pdf
2021-11-10 12:02:07 72KB