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Cited by 115 publications
(39 citation statements)
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“…A second issue is that there should be no rule applied to determine the number of hidden layers in the ANN [57] since using more than one hidden layer can be considered to produce more filtering and weights modification of the ANN's output [58]. Despite this, one hidden layer is used by most researchers for predicting objectives [59][60][61], this may be problematic for the expression of the final prediction formula, as complicated weightings result when there are many hidden layers [61]. A common practice for determining the number of nodes in the hidden layer is to use trial-and-error or experimentation [59] because there is no fully proven theoretical or algorithmic procedure to determine the nodes in the hidden layer [57,59,62].…”
Section: Designing the Predictive Ann Model With Forwards/backwards Pmentioning
confidence: 99%
See 1 more Smart Citation
“…A second issue is that there should be no rule applied to determine the number of hidden layers in the ANN [57] since using more than one hidden layer can be considered to produce more filtering and weights modification of the ANN's output [58]. Despite this, one hidden layer is used by most researchers for predicting objectives [59][60][61], this may be problematic for the expression of the final prediction formula, as complicated weightings result when there are many hidden layers [61]. A common practice for determining the number of nodes in the hidden layer is to use trial-and-error or experimentation [59] because there is no fully proven theoretical or algorithmic procedure to determine the nodes in the hidden layer [57,59,62].…”
Section: Designing the Predictive Ann Model With Forwards/backwards Pmentioning
confidence: 99%
“…According to [57][58][59][60][61], trial-and-error is used to select the optimum number of hidden nodes that meets a minimum value of mean square error for the performance training and testing data subsets in the proposed ANN model. The data for the 5092 cases generated by analysis of the operational characteristics for excavators was divided into two parts: the training set and the testing set.…”
Section: Designing the Predictive Ann Model With Forwards/backwards Pmentioning
confidence: 99%
“…The methods to validate measurements are numerous in the literature. The data validation activity can therefore be implemented, by correcting the measured values by measured influence values, by material redundancies, by analytical redundancies or by the use of other methods based on various techniques like artificial neural networks [26]. Often, those techniques of data validation make it possible to isolate faulty sensors.…”
Section: Data Validationmentioning
confidence: 99%
“…The algorithm is tested with the operational data from a four-loop Westinghouse PWR at startup for a period of approximately 36 h. The predicted values can be used for sensor validation, process monitoring, and diagnostic applications. This work has been extended by Upadhyaya and Eryurek 53 to include additional features, which are listed below. The sigmoidal function can be changed on-line, all input and output signals can be scaled automatically, and a single hidden layer is sufficient (instead of the multiple hidden layers normally used).…”
Section: Sensor Validation and Detectionmentioning
confidence: 99%