scholarly journals Use of Virtual Forward Propagation Network Model to Translate Analog Components

2020 ◽  
Vol 9 (1) ◽  
pp. 24
Author(s):  
Muhammad Sana Ullah ◽  
William Brickner ◽  
Emadelden Fouad
Keyword(s):  
Network Model ◽  
Propagation Network

scholarly journals Microblog propagation network model based on mean-field theory

2014 ◽  
Vol 63 (24) ◽  
pp. 240501
Author(s):  
Wu Teng-Fei ◽  
Zhou Chang-Le ◽  
Wang Xiao-Hua ◽  
Huang Xiao-Xi ◽  
Chen Zhi-Qun ◽  
...  
Keyword(s):  
Field Theory ◽  
Network Model ◽  
Mean Field Theory ◽  
Mean Field ◽  
Model Based ◽  
Propagation Network

scholarly journals Knowledge Evolution of Complex Agent Networks

2018 ◽  
Vol 173 ◽  
pp. 03050
Author(s):  
Zhao Yeqing
Keyword(s):  
Social Network ◽  
Network Model ◽  
Knowledge Network ◽  
Obvious Effect ◽  
Complex Agent ◽  
The Social ◽  
Knowledge Propagation ◽  
Knowledge Agents ◽  
Propagation Network ◽  
Agent Networks

In order to study the interaction between structure change of social network and knowledge propagation, this paper proposes a complex agent network model to discover the inner rule and restraining factors of the knowledge diffusion in the network system. The agents take advantage of different social radius to form acquaintance networks based on the theory of social circles in the knowledge propagation network model, and the dynamic evolution process of knowledge network is realized according the defined rules of knowledge communication. Simulation results show that this model based on social circle theory can better realize the characteristics of the actual social network than the traditional network model established before, at the same time the social radius of knowledge agent for knowledge dissemination in knowledge network has the obvious effect. It can narrow the knowledge gap for the knowledge agents in social network and good social relation network can be developed.

Study on Deformation Property of Soft Soil Based on Neural Networks

2013 ◽  
Vol 353-356 ◽  
pp. 270-273
Author(s):  
Yong Jian Liu ◽  
Zhang Ming Li ◽  
Yin Wang ◽  
Yi Mei Liu ◽  
Yong Jian Chen ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Adaptive Learning ◽  
Bp Neural Network ◽  
Deformation Property ◽  
Soft Soil ◽  
Nonlinear Creep ◽  
Propagation Network ◽  
Bp Neural Network Model

Based on the triaxial test results of soft soils, an error back propagation network predicting model for deformation property of soft soil is built. Improved BP neural network model is trained by additional momentum term, adaptive learning rate and Bayesian regularization performance function. Research shows that improved BP neural network model applied to predict soft soil foundation settlement, has fast computation, high accuracy, strong generalization ability, and good capability of matching the real data and the measured one. According to test data, the creep models can avoid any artificial assumption of complex constitutive equation, and can reflect nonlinear creep properties of soft soil objectively, thus has better fault-tolerance and more convenient than the traditional method.

scholarly journals Knowledge Evolution of Complex Agent Networks

2018 ◽  
Vol 176 ◽  
pp. 03007
Author(s):  
Zhao Yeqing
Keyword(s):  
Social Network ◽  
Network Model ◽  
Knowledge Network ◽  
Obvious Effect ◽  
Complex Agent ◽  
The Social ◽  
Knowledge Propagation ◽  
Knowledge Agents ◽  
Propagation Network ◽  
Agent Networks

In order to study the interaction between structure change of social network and knowledge propagation, this paper proposes a complex agent network model to discover the inner rule and restraining factors of the knowledge diffusion in the network system. The agents take advantage of different social radius to form acquaintance networks based on the theory of social circles in the knowledge propagation network model, and the dynamic evolution process of knowledge network is realized according the defined rules of knowledge communication. Simulation results show that this model based on social circle theory can better realize the characteristics of the actual social network than the traditional network model established before, at the same time the social radius of knowledge agent for knowledge dissemination in knowledge network has the obvious effect. It can narrow the knowledge gap for the knowledge agents in social network and good social relation network can be developed.

scholarly journals A stacked sparse auto-encoder and back propagation network model for sensory event detection via a flexible ECoG

2020 ◽  
Vol 14 (5) ◽  
pp. 591-607
Author(s):  
Oluwagbenga Paul Idowu ◽  
Jianping Huang ◽  
Yang Zhao ◽  
Oluwarotimi William Samuel ◽  
Mei Yu ◽  
...  
Keyword(s):  
Network Model ◽  
Event Detection ◽  
Back Propagation ◽  
Sensory Event ◽  
Propagation Network
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