Abstract
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 rapidly replicate the evaluation provided by the KB-CEDSS. By integrating knowledge-based systems, decision support systems and ANNs, the system achieves improvements in the implementation of each as well as increases the scope of the application. The paper discusses the structure of the hybrid system, the methods for improving learning performance of backpropagation procedure using a multilayer ANN, as well as providing an example of application.
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