Next Web Page Prediction by a New HybridizationANFIS-Firefly Model
Publish place: The 21st Iran Fuzzy Systems Conference
Publish Year: 1401
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICFUZZYS21_014
تاریخ نمایه سازی: 16 بهمن 1402
Abstract:
In this paper, a new hybrid model, which consists of an adaptive neural fuzzy inference system and firefly algorithm, isproposed in to improve the precision accuracy of the user navigational behavior. Adaptive neural fuzzy inference system is a robustclassification method to predict. The main target of this paper is to adjust adaptive neural fuzzy inference system parameters accuratelyusing one of meta-heuristic algorithms, such as firefly algorithm to perform predictions. The results achieved by the proposed model arecompared with other popular approaches in this field. The experimental results represent that the proposed model illustrates morefavorable results than other models in most cases.
Keywords:
Prediction of the behavior of the users , Web mining , Adaptive neural fuzzy inference system , Firefly algorithm
Authors
Majid Abdolrazzagh-Nezhad
Associate Professor, Department of Computer Engineering, Faculty of Engineering, Bozorgmehr University of Qaenat, Qaen, Iran
Shokooh Pour Mahyabadi
Ph.D. Student, Department of Computer Engineering, Birjand Branch, Islamic Azad University, Birjand, Iran,