Год выпуска: 2011 Автор: Eskinder Mesfin Cherinet Издательство: LAP Lambert Academic Publishing Страниц: 92 ISBN: 9783847302735
Описание
A model to address, was constructed using a feed forward multilayer neural network perceptron having 9 input neurons to the network and one hidden layer with 20 neurons and finally having a single output neuron, which is the predicted time of the cases in months using MATLAB 7.0 neural network tool box. A selected model was trained with training and validation datasets[67% of the whole datasets], finally tested with the test set reserved for these purpose[33% of the datasets] and a total of more than 33,000 record set was used in building the model. Based on the performance function, the selected model shows a good performance range of Mean Square error [MSE] which is the difference between the target output and the network output was minimized to fit to the range offering a value of 0.0033 with 94.44% of the error rate was between +0.2 normalized months. This is the good indication that the developed model could be a reliable predictive model for court cases time...
