Application of Artificial Neural Networks in Allocating Grant

The grant allocation section was one of the subjects that have confronted problems and challenges. Universities and higher education head office as education problems administrators’ encounter. Programs related to grant allocation more than other organizations that is because of the demand ever-increasing for education, ambiguity, diversity of opinions in research priorities, and not being clearly specified in outcomes. So identification of appropriate criteria for grant Hopfield allocation and attempt on theirs optimum allocation by using intelligent systems like artificial neural networks have been necessary that these networks successes in quality improvement in financial decisions. In this research, at first, by grant Hopfild allocation regulation of ministry of since & Allameh tabatabae’i & Tehran & Shahid Beheshti & Amir Kabir universities, those allocation criteria which are confirmed in those universities were appointed. Then, allocation criteria which are appointed from the viewpoint on the assistant in research become identified through completion questionnaires by them. Finally, in order to designing the method of grant Hopfield allocation, patterned outcome criteria enter in MATLAB software and the appropriate pattern obtained through Hopfield network.