Adaptive neuro-fuzzy pedagogical recommender

被引：22

作者：

Sevarac, Zoran ^{[1
]}

Devedzic, Vladan ^{[1
]}

Jovanovic, Jelena ^{[1
]}

机构：

[1] Univ Belgrade, Dept Software Engn, Fac Org Sci, Belgrade 11000, Serbia

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 10期

关键词：

E-learning; Recommender systems; Neural networks; Fuzzy logic;

D O I：

10.1016/j.eswa.2012.02.174

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Neuro-Fuzzy Pedagogical Recommender (NFPR) is adaptive recommender based on neuro-fuzzy inference, that can be used to create pedagogical rules in Technology Enhanced Learning (TEL) systems. NFPR is domain independent, provides easy to use API for integration with other systems, and comes with specialized tool (wizard) for creation of NFPR software components. The most important feature of NFPR is its flexibility, that allows teachers to create their own set of pedagogical rules. The proposed model has been implemented and tested with simulated data. Our effort in bringing neuro-fuzzy recommender to the field of TEL (Technology Enhanced Learning) seems to be the first attempt of its kind. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：9797 / 9806

页数：10

共 50 条

[31] Neuro-Fuzzy Evaluation of the Software Reliability Models by Adaptive Neuro Fuzzy Inference System
Milos Milovancevic
Aleksandar Dimov
Kamen Boyanov Spasov
Ljubomir Vračar
Miroslav Planić
Journal of Electronic Testing, 2021, 37 : 439 - 452
[32] Neuro-Fuzzy Evaluation of the Software Reliability Models by Adaptive Neuro Fuzzy Inference System
Milovancevic, Milos
Dimov, Aleksandar
Spasov, Kamen Boyanov
Vracar, Ljubomir
Planic, Miroslav
JOURNAL OF ELECTRONIC TESTING-THEORY AND APPLICATIONS, 2021, 37 (04): : 439 - 452
[33] Knowledge-based preference learning model for recommender system using adaptive neuro-fuzzy inference system
Patro, Sunkuru Gopal Krishna
Mishra, Brojo Kishore
Panda, Sanjaya Kumar
Kumar, Raghvendra
Hoang Viet Long
Tran Manh Tuan
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 39 (03) : 4651 - 4665
[34] Adaptive neuro-fuzzy controller for navigation of mobile robot
Godjevac, J
Steele, N
1ST INTERNATIONAL SYMPOSIUM ON NEURO-FUZZY SYSTEMS - AT'96, CONFERENCE REPORT, 1996, : 111 - 119
[35] Adaptive Neuro-Fuzzy Systems for Context Aware Offices
Quintero M, Christian G.
Eljaik G, Jorhabib
WORKSHOPS PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS, 2009, 4 : 153 - 160
[36] ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR END MILLING
Markopoulos, Angelos P.
Georgiopoulos, Sotirios
Kinigalakis, Myron
Manolakos, Dimitrios E.
JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2016, 11 (09) : 1234 - 1248
[37] Adaptive Neuro-fuzzy Network Control for a Mobile Robot
Jang, Jun Oh
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2011, 62 (3-4) : 567 - 586
[38] ADAPTIVE NEURO-FUZZY COMPUTING TECHNIQUE FOR PRECIPITATION ESTIMATION
Petkovic, Dalibor
Gocic, Milan
Shamshirband, Shahaboddin
FACTA UNIVERSITATIS-SERIES MECHANICAL ENGINEERING, 2016, 14 (02) : 209 - 218
[39] An adaptive neuro-fuzzy approach to control a distillation column
de Cañete, JF
Cordero, T
Guijas, D
Alarcon, J
NEURAL COMPUTING & APPLICATIONS, 2000, 9 (03): : 211 - 217
[40] Adaptive Neuro-Fuzzy Inference System for drought forecasting
Bacanli, Ulker Guner
Firat, Mahmut
Dikbas, Fatih
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2009, 23 (08) : 1143 - 1154

← 1 2 3 4 5 →