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This paper presents the method of using an artificial neural network to evaluate the appeal of website design and layout to members of a target group, with the design being defined according to predefined parameters describing section properties. We have trained the neural network with a sampling set based on the survey participants’ website design evaluations. For the purpose of project implementation, we have utilized an open source JavaScript library for neural network simulation and our own implementation of a dynamic website preview generator. The paper presents a derivative application that uses the trained neural network to generate suggested website designs and their feature parameters that are likely to be appealing to the members of the target group matching the survey participants. Apstrakt: U radu je prikazan metod primene vestacke neuronske mreže u cilju ocene dopadljivosti dizajna i rasporeda elemenata veb-sajta pripadnicima ciljne grupe, pri cemu je dizajn definisan prema unapred utvrđenim parametrima koji opisuju osobine elemenata. Neuronsku mrežu smo trenirali pomocu skupa uzoraka ocena dopadljivosti veb sajtova, sakupljenih putem ankete. U implementaciji ovog projekta, koristili smo JavaScript biblioteku otvorenog koda za simulaciju neuronske mreže, uz sopstveno razvijen dinamicki generator prikaza veb sajta. U radu je prikazana izvedena aplikacija koja koristi treniranu neuronsku mrežu za generisanje predloga dizajna veb sajtova sa parametrima koji određuju njihove osobine, a koji se dopadaju pripadnicima ciljne grupe koji odgovaraju ucesnicima ankete.

Evaluation of the appeal of website design to a target group with the aid of artificial neural network software