Comparison of learning algorithms for feedforward neural nets

被引:0
|
作者
Nossek, JA [1 ]
Nachbar, P [1 ]
Schuler, AJ [1 ]
机构
[1] TECH UNIV MUNICH,INST NETWORK THEORY & CIRCUIT DESIGN,D-8000 MUNICH,GERMANY
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
引用
收藏
页码:380 / 383
页数:4
相关论文
共 50 条
  • [21] Inversion of feedforward neural networks: Algorithms and applications
    Jensen, CA
    Reed, RD
    Marks, RJ
    El-Sharkawi, MA
    Jung, JB
    Miyamoto, RT
    Anderson, GM
    Eggen, CJ
    PROCEEDINGS OF THE IEEE, 1999, 87 (09) : 1536 - 1549
  • [22] Efficient learning algorithms for three-layer regular feedforward fuzzy neural networks
    Liu, PY
    Li, HX
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2004, 15 (03): : 545 - 558
  • [23] NEW ALGORITHMS FOR TRAINING FEEDFORWARD NEURAL NETWORKS
    KAK, S
    PATTERN RECOGNITION LETTERS, 1994, 15 (03) : 295 - 298
  • [24] Algorithms of sparselization based on feedforward neural networks
    Sun, ZZ
    Xia, GP
    Zhang, J
    Li, WC
    PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 831 - 835
  • [25] COMPLETE AND PARTIAL FAULT-TOLERANCE OF FEEDFORWARD NEURAL NETS
    PHATAK, DS
    KOREN, I
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 1995, 6 (02): : 446 - 456
  • [26] Comparison of Ensemble Simple Feedforward Neural Network and Deep Learning Neural Network on Phishing Detection
    Soon, Gan Kim
    Chiang, Liew Chean
    On, Chin Kim
    Rusli, Nordaliela Mohd
    Fun, Tan Soo
    COMPUTATIONAL SCIENCE AND TECHNOLOGY (ICCST 2019), 2020, 603 : 595 - 604
  • [27] IMPLEMENTATION AND COMPARISON OF 3 NEURAL NETWORK LEARNING ALGORITHMS
    HUANG, T
    ZHANG, C
    LEE, S
    WANG, HP
    KYBERNETES, 1993, 22 (01) : 22 - 38
  • [28] LEARNING A TREE OF NEURAL NETS
    Zharmagambetov, Arman
    Carreira-Perpinan, Miguel A.
    2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 3140 - 3144
  • [29] A comparison of nonlinear optimization methods for supervised learning in multilayer feedforward neural networks
    Denton, JW
    Hung, MS
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1996, 93 (02) : 358 - 368
  • [30] Topology of Learning in Feedforward Neural Networks
    Gabella, Maxime
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (08) : 3588 - 3592