scholarly journals Inferring Gene Regulatory Network from Bayesian Network Model Based on Re-sampling

2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Qiang Zhang ◽  
Xuedong Zheng ◽  
Qiang Zhang ◽  
Changjun Zhou
Keyword(s):  
Bayesian Network ◽  
Gene Regulatory Network ◽  
Network Model ◽  
Regulatory Network ◽  
Bayesian Network Model ◽  
Model Based ◽  
Gene Regulatory

Probabilistic Model-Based Fault Diagnosis of the Rotor System

2007 ◽  
Author(s):  
Jiye Shao ◽  
Rixin Wang ◽  
Jingbo Gao ◽  
Minqiang Xu
Keyword(s):  
Fault Diagnosis ◽  
Bayesian Network ◽  
Network Model ◽  
Rotating Machinery ◽  
Rotor System ◽  
Bayesian Network Model ◽  
Diagnosis System ◽  
Model Based ◽  
Core Components ◽  
Fault Diagnosis System

The rotor is one of the most core components of the rotating machinery and its working states directly influence the working states of the whole rotating machinery. There exists much uncertainty in the field of fault diagnosis in the rotor system. This paper analyses the familiar faults of the rotor system and the corresponding faulty symptoms, then establishes the rotor’s Bayesian network model based on above information. A fault diagnosis system based on the Bayesian network model is developed. Using this model, the conditional probability of the fault happening is computed when the observation of the rotor is presented. Thus, the fault reason can be determined by these probabilities. The diagnosis system developed is used to diagnose the actual three faults of the rotor of the rotating machinery and the results prove the efficiency of the method proposed.

Construction of a Molecular Learning Network

2013 ◽  
Vol 17 (6) ◽  
pp. 913-918
Author(s):  
Tomohiro Shirakawa ◽  
◽  
Hiroshi Sato
Keyword(s):  
Associative Learning ◽  
Gene Regulatory Network ◽  
20Th Century ◽  
Network Model ◽  
Regulatory Network ◽  
Learning Ability ◽  
Learning Network ◽  
Unicellular Organisms ◽  
Gene Regulatory

Learning ability in unicellular organisms has been studied since the first half of the 20th century, but there is still no clear evidence of unicellular learning. Based on results from previous associative learning experiments using thePhysarumplasmodium, a gene regulatory network model of unicellular learning was constructed. The model demonstrates that, in principle, unicellular learning can be achieved through the cooperation of several biomolecules.

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