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The number of hidden neurons should be around 2/3 of the input layer size, plus the size of the output layer. • The number of hidden neurons should be less than twice the input layer size. While following the above guidelines, the neural network was trained changing the number of hidden layers and number of neurons in the hidden layers. The Root Mean Squared Error (RMSE) value for each configuration of the neural network was recorded and the neural network which produced the lowest RMSE value was saved.

Gunasekara et al. trained different numbers of clusters were formed with different compositions. These results lead to abandoning the GSOM approach for this requirement. Fig. 6. Data clusters generated by GSOM based clustering. This shows the huge number of clusters generated by this approach. 2. Finally those newly identified Package types are displayed in a tabular format where it can be used for decision making. Fig. 7 shows the newly identified vacation packages presented in a tabular format.

The confidence of an association rule is the percentage value that shows how frequently the rule head (right hand side of the association rule) occurs among all the groups containing the rule body (left hand side of the association rule). The confidence value indicates how reliable this rule is. 5 are selected and this value is presented as the influence value of the holiday destination. The WEKA java library is used to carry out the implementation. Some rules generated in this manner are shown below: i.

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