early recognition of developmental disorders is an important goal, and equally important is avoiding misdiagnosing a disorder in a healthy child without pathology. the aim of the present study was to develop an artificial neural network using perinatal information to predict developmental disorder at infancy. a total of 1,232 mother-child dyads were recruited from 6,150 in the original data of ...

. introduction mass movements are among the most destructive natural disasters in mountainous areas which cause great damages of over millions of dollars to human beings' life and infrastructures across the world. landslide, as a type of mass movement, is a complex process that occurs under the influence of internal and external parameters. the main effective parameters in hillside instability ...

Third party service providers are locating logistic hub for operating their tasks. Finding a proper location helps them to have better performance in competitive environment. Multiple characteristics of proper location selection faces the decision maker to have a multi criteria decision making problem. Since the location decision is a long term planning, the robustness of the decision is gettin...

The development of Sukuk market as the alternative to the existing conventional bond market has risen the issue of rating the Sukuk issuance. These credit ratings fulfil a key function of information transmission in capital market. Moreover, Basel Committee for Banking Supervision has now instituted capital charges for credit risk based on credit ratings. Basel II framework allowed the bank to ...

Based on logistic regression (LR) and artificial neural network (ANN) methods, we construct an LR model, an ANN model and three types of a two-stage hybrid model. The two-stage hybrid model is integrated by the LR and ANN approaches. We predict the credit risk of China’s small and medium-sized enterprises (SMEs) for financial institutions (FIs) in the supply chain financing (SCF) by applying th...