Advances in Fuzzy Logic and Artificial Neural Networks

被引:0
|
作者
Lima-Junior, Francisco Rodrigues [1 ]
机构
[1] Fed Technol Univ Parana, Postgrad Program Adm, BR-80230901 Curitiba, Brazil
关键词
D O I
10.3390/math12243949
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
引用
收藏
页数:3
相关论文
共 50 条
  • [41] Comparison of the Performance of Artificial Neural Networks and Fuzzy Logic for Recognizing Different Partial Discharge Sources
    Mas'ud, Abdullahi Abubakar
    Alfredo Ardila-Rey, Jorge
    Albarracin, Ricardo
    Muhammad-Sukki, Firdaus
    Bani, Nurul Aini
    ENERGIES, 2017, 10 (07)
  • [42] ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC APPLICATIONS THROUGH ISSR MARKERS ON CULTIVATED TYPE OLIVES
    Sesli, Meltem
    Yegenoglu, Emine Dilsat
    Altintas, Volkan
    FRESENIUS ENVIRONMENTAL BULLETIN, 2019, 28 (2A): : 1374 - 1380
  • [43] Hybrid control of the three phase induction machine using artificial neural networks and fuzzy logic
    Bouhoune, K.
    Yazid, K.
    Boucherit, M. S.
    Cheriti, A.
    APPLIED SOFT COMPUTING, 2017, 55 : 289 - 301
  • [45] Radial basis function artificial neural networks for the inference process in fuzzy logic based control
    Steele, N.C.
    Nicholas, Reeves M.
    King, P.J.
    Computing (Vienna/New York), 1995, 54 (02): : 99 - 117
  • [46] An affordable modular mobile robotic platform with fuzzy logic control and evolutionary artificial neural networks
    Tedder, M
    Chamulak, D
    Chen, LP
    Nair, S
    Shvartsman, A
    Tseng, I
    Chung, CJ
    JOURNAL OF ROBOTIC SYSTEMS, 2004, 21 (08): : 419 - 428
  • [47] On-line prediction of tool wears by using methods of artificial neural networks and fuzzy logic
    Basciftci, Fatih
    Seker, Huseyin
    SCIENTIFIC RESEARCH AND ESSAYS, 2010, 5 (19): : 2883 - 2888
  • [48] Maximum Power Point Tracking for Photovoltaic Systems Using Fuzzy Logic and Artificial Neural Networks
    Alabedin, A. M. Zein
    El-Saadany, E. F.
    Salama, M. M. A.
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [49] A mobile application for early prediction of student performance using fuzzy logic and artificial neural networks
    Nosseir A.
    Fathy Y.M.
    International Journal of Interactive Mobile Technologies, 2020, 14 (02): : 4 - 18
  • [50] Comparisons between Artificial Neural Networks and Fuzzy Logic Models in Forecasting General Examinations Results
    Ab Ghani, Rusmizi
    Abdullah, Salwani
    Yaakob, Razali
    2015 2ND INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATIONS, AND CONTROL TECHNOLOGY (I4CT), 2015,