A novel hybrid classification model of artificial neural networks and multiple linear regression models

► Proposing a novel hybrid model for classification problems. ► Using linear methods for improving the performance of the traditional artificial neural networks (ANNs). ► Combining the multiple linear regression (MLR) and multilayer perceptron (MLP) as hybrid classification model (MLRP). ► Overcoming the linear modeling limitation of the traditional MLPs. ► Obtaining more general and more accurate classification model.