In the insurance business, two things are considered when analysing losses: frequency of loss and severity of loss. Previous research investigated the use of artificial Neural Networks (NNs) to develop models as aids to the insurance underwriter when determining acceptability and price on...

In the insurance business, two things are considered when analysing losses: frequency of loss and severity of loss. Previous research investigated the use of artificial Neural Networks (NNs) to develop models as aids to the insurance underwriter when determining acceptability and price on...

Neural networks are perhaps the most significant forecasting tool to be applied to the financial markets in recent years and are gaining ascendancy because of reports of their success. This paper checks out the classification capability of Radial Basis Function Networks (RBF), Multi-Layer...

This paper utilizes the eigenvalue analysis in identifying model parameters and selecting their appropriate values to obtain a stable system response in the production-stock problem of Coyle. The model is first assumed to be in steady-state equilibrium. This obviates the need for the delays in...

Neural networks are perhaps the most significant forecasting tool to be applied to the financial markets in recent years and are gaining ascendancy because of reports of their success. This paper checks out the classification capability of Radial Basis Function Networks (RBF), Multi-Layer...

The movement toward electronic government (e-government) is rapidly advancing as nations exploit new electronic means of communication such as the Internet. The e-government transformation process can be and often is seriously hindered when initiatives are disjointed and uncoordinated by an...