شماره ركورد كنفرانس :
3752
عنوان مقاله :
A New Model for Improving Medical Question Answering Systems Based on Ant Colony Algorithm
عنوان به زبان ديگر :
A New Model for Improving Medical Question Answering Systems Based on Ant Colony Algorithm
پديدآورندگان :
Shahin Mahtab Faculty of Computer Engineering Islamic Azad University, Najafabad Isfahan, Iran , Rastegari Hamid rastegari@iaun.ac.ir Faculty of Computer Engineering Islamic Azad University, Najafabad Isfahan, Iran
كليدواژه :
Question answering system , Ant colony algorithm , Feature selection , Optimization
عنوان كنفرانس :
اولين كنفرانس بين المللي مهندسي و علوم كامپيوتر
چكيده فارسي :
Using heuristic algorithms is a suitable approach for solving an optimization problem. In this paper, an improved version of ant colony algorithm was provided so as to enhance the accuracy of question answering systems. This modified version proposed a revision having a combined algorithm of different populations of ants and properties of binary ant colony. The effectiveness of the proposed method was considerable, compared with the data set containing 300 standard medical question answering systems. The results also showed and confirmed that this prepared algorithm had a great efficiency.
چكيده لاتين :
Using heuristic algorithms is a suitable approach for solving an optimization problem. In this paper, an improved version of ant colony algorithm was provided so as to enhance the accuracy of question answering systems. This modified version proposed a revision having a combined algorithm of different populations of ants and properties of binary ant colony. The effectiveness of the proposed method was considerable, compared with the data set containing 300 standard medical question answering systems. The results also showed and confirmed that this prepared algorithm had a great efficiency.
