A HYBRID KNOWLEDGE-BASED SYSTEM FOR URBAN-DEVELOPMENT

The paper presents a knowledge-based decision support system (KB-CEDSS ) that is integrated with a multilayer artificial neural network (ANN) for evaluating urban development. The multilayer ANN is trained to ra pidly replicate the evaluation provided by the KB-CEDSS. By integratin g knowledge-based systems, decision support systems and ANNs, the syst em achieves improvements in the implementation of each as well as incr eases the scope of the application. The paper discusses the structure of the hybrid system, the methods for improving learning performance o f backpropagation procedure using a multilayer ANN, as well as providi ng an example of application.