A New Model for Improving Medical Question Answering Systems Based on Ant Colony Algorithm
عنوان مقاله: A New Model for Improving Medical Question Answering Systems Based on Ant Colony Algorithm
شناسه ملی مقاله: ICCSE01_037
منتشر شده در کنفرانس بین المللی مهندسی و علوم کامپیوتر در سال 1395
شناسه ملی مقاله: ICCSE01_037
منتشر شده در کنفرانس بین المللی مهندسی و علوم کامپیوتر در سال 1395
مشخصات نویسندگان مقاله:
Mahtab Shahin - Faculty of Computer Engineering , Najafabad Branch, Islamic Azad University, Najafabad , Iran
Hamid Rastegari - Faculty of Computer Engineering , Najafabad Branch, Islamic Azad University, Najafabad , Iran
خلاصه مقاله:
Mahtab Shahin - Faculty of Computer Engineering , Najafabad Branch, Islamic Azad University, Najafabad , Iran
Hamid Rastegari - Faculty of Computer Engineering , Najafabad Branch, Islamic Azad University, Najafabad , Iran
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.
کلمات کلیدی: Question answering system; Ant colony algorithm; Feature selection; Optimization
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/648190/