Künstliche neuronale Netze sind ein in der Theorie oft beschriebenes und in der Praxis der Wirtschaftswissenschaften, Informatik sowie Natur- und Ingenieurwissenschaften häufig eingesetztes Instrument zur Durchführung von Datenanalysen. Darstellungen neuronaler Netze entstammen jedoch...

In this paper we examine feed-forward neural networks using genetic algorithms in the training process instead of error backpropagation algorithm. Additionally real encoding is preferred to binary encoding as it is more appropriate to find the optimum weights. We use learning and momentum rates...

One of the most important processes in the early stages of construction projects is to estimate the cost involved. This process involves a wide range of uncertainties, which make it a challenging task. Because of unknown issues, using the experience of the experts or looking for similar cases...