Van der Wal, Zeger,Tina Nabatchi, & Gjalt de Graaf (2015). From Galaxies to Universe: A Cross-Disciplinary Review and Analysis of Public Values Publications from 1969 to 2012.American Review of Public Administration, 45(1): 13-28. Munno, Greg &Tina Nabatchi(2014). Public Deliberation a...
Review of Public Participation for 21st Century Democracy by Tina Nabatchi and Matt Leighninger (San Francisco: Jossey-Bass, 2015)doi:10.16997/JDD.250Elie PeltzUniversity of Westminster Press
1 概述 编写目的: 介绍TinaLinux的配置文件,配置方法。 2 menuconfig Tina采用Kconfig机制,对SDK和内核进行配置。 具体用法,可以参考Kconfig机制的相关介绍。 2.1 tina menuconfig. Tina Linux SDK的根目录下,执行make menuconfig命令可进入Tina Linux的配置界面。 对于具体软件包: <*> (按y): 表示该软件包将包含在...
Abeysiriwardana-Arachchige, I.S.A.; Nirmalakhandan, N. Predicting Removal Kinetics of Biochemical Oxygen Demand (BOD) and Nutrients in a Pilot Scale Fed-Batch Algal Wastewater Treatment System. Algal Res. 2019, 43, 101643. [Google Scholar] [CrossRef] Zhu, B.; Wei, D.; Pohnert, G. ...
研究选取了无预训练模型加载的传统短文本分类模型FastText、TextCNN、TextRNN及加载预训练模型bert-base-uncased的BERT、融合对抗学习的GAN-BERT[27]模型,与引入提示学习的方法进行对比实验。其中TextRNN、FastText、TextCNN的参数设定为batch_size=64,num_epochs=50,learning_rate=0.008,decay_rate=0.95。为了保证实验结...
GRU采用两个隐藏层,经多次实验学习率设为0.001;批量大小(batch_size)设为50;期(epochs)为50次时模型效果最优,接下来用IPSO优化两个隐含层的GRU;对学习率与两隐含层的节点数进行寻优,超参数优化。经过多次比较分析,粒子数量(N)= 5;d = 3;epochs = 10;mj = 0.8;mi = 0.2;c1 = 1.5;c2 = 1.5;r1 = ...
Nabatchi, Tina, Leighninger, Matt. (2015) Public participation for 21st century democracy. Hoboken, NJ: Jossey-Bass. 368pp. ISBN: 9781118688403citizenshipcivic engagementdemocratic governancepublic administrationrepresentative democracyThe writers possess worthwhile experience in authoring books and articles ...
Review of Democracy in Motion: Evaluating the Practice and Impact of Deliberative Civic Engagement edited by Tina Nabatchi, John Gastil, G. Michael Weiksner, and Matt Leighninger (New York: Oxford University Press, 2012)doi:10.16997/JDD.205Jack A. Becker...
本文提出的基于GASF和Inception-ResNet-v2的心律失常图像分类算法结构如图1所示,算法流程包括:使用变分模态分解(variational mode decomposition,VMD)去噪和深度卷积生成对抗网络(deep convolutional generative adversarial network,DCGAN)对数据进行平衡,然后使用GASF将一维ECG转换为相应的二维ECG图像,最后使用改进的Inception-...