Integrating expert systems and neural computing for decision support

Expert (or knowledge-based) systems are used today either as stand-alone or in conjunction with other computer based information systems (CBIS) in thousands of organizations world wide to provide decision support for solving problems that traditional information systems were unable to solve. Neural computing is an emerging promising technology with few successful applications. By integrating the two technologies one can achieve some improvements in the implementation of each as well as increase the scope of application. This paper provides a comprehensive framework and examples of such an integration.<>