Belief-network model for failure prediction
Deep Belief Network for Prediction of Rician Fading Channel
... Deep Belief Network and it a class of deep neural network consists of many hidden units, which are connected between the layers but not between the units within each layer, it is the first effective ...
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Prediction of Birth Type Based on the Health Belief Model
... 15 four-choice and 5 three-choice). This section would be scored between 0 and 20. The third section dealt with the constituent constructs of the health belief model which was to be rated on a 5-level ...
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Coordinated failure? a cross country bank failure prediction model
... domestic prediction models, the behavior of loans, in particular the ratio of loans to deposits or loans to equity, are significant indicators of ...Japanese model, the fact that OTA (ratio of other ...
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Development of a Bayesian Belief Network Runway Incursion Model
... this model, the HFACS states for all of the possible RI event participants are considered together as either being deficient (one or more participant has HFACS issues, worst case) or fully adequate (no HFACS ...
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A case study: Failure prediction in a real LTE network
... Similar to random forest, gradient boosting is also an ensemble method, which combines and averages many weak classifiers (in this case decision tree model) on repeated modified version of the data. However, its ...
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Entropy for business failure prediction : an improved prediction model for the construction industry
... Operating expense to operating income Operating expense/operating income Total assets turnover Operating income/total assets The assumption being that failed firms have a greater degree of instability in their financial ...
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A hybrid financial analysis model for business failure prediction
... the prediction models. This paper presents a hybrid financial analysis model including static and trend analysis models to construct and train a back-propagation neural network (BPN) ...proposed ...
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Business Success and Failure Prediction Software - BEX Model
... BEX model formula has been resolved by replacing the four variables with mathematical representatives for each of ...The model gained in that way and it is used as the basis to estimate the BEX ...BEX ...
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Failure Prediction of Underground Pipeline Based on Artificial Neural Network
... Keywords: Failure prediction, Pipeline, Non-uniform settlement soil, ...neural network has become a useful tool for many engineering ...the prediction and analysis of underground pipeline ...
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Prediction of Failure Frequency of Water-Pipe Network in the Selected City
... water-pipe network. One failure of water mains or distribution pipes have higher impact than even tens of damaged house connections at the same ...water-pipe network was significantly ...pipe ...
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Pipe failure prediction and impacts assessment in a water distribution network
... pipe failure) can cause pressure and flow disturbances resulting in water quality issues, decline or interruption in system performance, loss of business, and costs associated with emergency response (Sadiq et ...
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SOFTWARE DEFECT PREDICTION USING DEEP BELIEF NETWORK WITH L1 REGULARIZATION BASED OPTIMIZATION
... early prediction can avoid the degraded software development and can reduce the implementation cost for software defect prediction ...defect prediction by selecting optimal features during ...defect ...
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Self-organizing traffic flow prediction with an optimized deep belief network for internet of vehicles
... precise prediction of traffic state can help to reduce traffic congestion in large metropolitan ...traffic network and traffic ...flow prediction over various time periods which takes into account ...
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Unsupervised Feature Learning in Time Series Prediction Using Continuous Deep Belief Network
... unsupervised learning process algorithm, the proposed model now can process continuous data in.. 15.[r] ...
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Application of petrophysical logs and failure model for prediction of sand production
... rock failure during well bore drilling and perforation as well as hydrocarbon ...rock failure occurs and sand migration is initiated. In practice, rock failure and sand production can be predicted ...
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Dynamic Bayesian belief network to model the development of walking and cycling schemes
... our model, in which case competing modes would be ...our model, the variables could be defined at many different ...theoretical model to be de- fined with different levels of detail for different ...
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Development and Execution of the RUNSAFE Runway Safety Bayesian Belief Network Model
... a model for runway safety was much more difficult than developing one for in-flight ...similar model reviews hosted by this NASA team for different ...BBN model among the NASA team and the SME ...The ...
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A Neural Network Model Deployed in the Cloud for Prediction of Network Traffic
... a prediction model is the first phase, and mainly involves input preparation, data modeling, and result ...of model, which enables the decision makers to use it for real applications ...predictive ...
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Prediction of breast self-examination in a sample of Iranian women: an application of the Health Belief Model
... Since there were eight health centers in Bandar Abbas and the city's population was equally dispersed around each center, the sample size of each center was the same. Among women referred to these eight health centers ...
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Additive Belief-Network Models
... ties of the ABNM and the full belief network. In an example ABNM, we found that the cross entropy was 0.311, and therefore, the ABNM provided a compara ble model of the domain. Furthermore, the ...
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