Perusing the influence of desired value on Back Propagation

چکیده مقاله

Based on the complexity and diversity of the features of the supplier efficiency and performance evaluation toady, neural networks can be used. There are several papers that use supervised neural networks to evaluate the efficiency of the decision making units, by a set of desired value needed.
This paper aims to peruse the quality of the desired value on the neutral network training and predicting. Hence here we use SBM, SBM-Output oriented and Russell models efficiency scores to introduce new sets of desired value in supplier selection evaluation process by neural network. Then compare the gained results together to find the best set of desired value for network for supplier selection evaluation.

دریافت لینک دانلود مقاله