Reduction and Identification of Noise Signals Using Artificial Neural Networks with Various Activation Functions

被引：0
|
作者：
Kogias, Panagiotis [1 ]
Balabanova, Ivelina [2 ]
Malamatoudis, Michail [1 ]
Georgiev, Georgi [2 ]
Sadinov, Stanimir [2 ]
机构：
[1] Department of Electrical Engineering, Technological Educational Institute of Eastern Macedonia and Thrace Ag. Loukas, Kavala
[2] Department of Communications Equipment and Technologies, Technical University of Gabrovo, Gabrovo, Bulgaria
来源：
Journal of Engineering Science and Technology Review | 2019年 / 2019卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：90 / 93
相关论文
共 50 条
  • [1] Reduction and Identification of Noise Signals Using Artificial Neural Networks with Various Activation Functions
    Kogias, Panagiotis
    Balabanova, Ivelina
    Malamatoudis, Michail
    Georgiev, Georgi
    Sadinov, Stanimir
    [J]. Journal of Engineering Science and Technology Review, 2020, (Special Issue) : 89 - 93
  • [2] Detection and identification of seismic signals using artificial neural networks
    Roy, F
    [J]. CURRENT SCIENCE, 1998, 74 (01): : 47 - 54
  • [3] A Comparison of Activation Functions in Artificial Neural Networks
    Bircanoglu, Cenk
    Arica, Nafiz
    [J]. 2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2018,
  • [4] Identification of Noises and Speech Signals by Artificial Neural Networks
    Technical University of Gabrovo, Department of Telecommunications Equipment and Technologies, 4 Hadji Dimitar Str, Gabrovo
    5300, Bulgaria
    不详
    5300, Bulgaria
    不详
    65404, Greece
    [J]. J. Eng. Sci. Technol. Rev., 3 (193-196):
  • [5] Nonlinear system identification and model reduction using artificial neural networks
    Prasad, V
    Bequette, BW
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2003, 27 (12) : 1741 - 1754
  • [6] Structure noise reduction of ultrasonic signals using artificial neural network adaptive filtering
    Liu, ZQ
    Lu, MD
    Wei, MA
    [J]. ULTRASONICS, 1997, 35 (04) : 325 - 328
  • [7] Noise reduction based on local linear representation using artificial neural networks
    Müller, A
    Elmirghani, JMH
    [J]. GLOBECOM'99: SEAMLESS INTERCONNECTION FOR UNIVERSAL SERVICES, VOL 1-5, 1999, : 2238 - 2243
  • [8] Noise reduction and image enhancement using a hardware implementation of artificial neural networks
    David, R
    Williams, E
    de Trémiolles, G
    Tannhof, P
    [J]. NINTH WORKSHOP ON VIRTUAL INTELLIGENCE/DYNAMIC NEURAL NETWORKS: ACADEMIC/INDUSTRIAL/NASA/DEFENSE TECHNICAL INTERCHANGE AND TUTORIALS, 1999, 3728 : 212 - 221
  • [9] Adaptation to New Microphones Using Artificial Neural Networks With Trainable Activation Functions
    Siniscalchi, Sabato Marco
    Salerno, Valerio Mario
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 28 (08) : 1959 - 1965
  • [10] Noise reduction by using Autoassociative Neural Networks
    Vlahovic, Natasa
    Kvascev, Goran
    [J]. 2016 13TH SYMPOSIUM ON NEURAL NETWORKS AND APPLICATIONS (NEUREL), 2016, : 71 - 75
12345