Parallel fuzzy learning

被引：0
|
作者：
Russo, M
机构：
[1] Univ Messina, Dept Phys, I-98166 Messina, Italy
[2] Ist Nazl Fis Nucl, Natl Inst Phys, Sect Catania, I-95129 Catania, Italy
来源：
FOUNDATIONS AND TOOLS FOR NEURAL MODELING, PROCEEDINGS, VOL I | 1999年 / 1606卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
GEFREX is a genetic-neuro-fuzzy tool able to extract very compact fuzzy rules. It is mainly based on the genetic paradigm. This paper shows the preliminary result obtained by the author regarding the parallelization of this tool. The hw platform consists of a cluster of 7 PC-based single pentium II 233 MHz workstations and 1 PC-based double pentium II 300 MHz processor server. The communication network is a fast-ethernet dedicated LAN. The results achieved are very promising. With up to seven processing elements, the speedup obtainable is linear.
引用
收藏
页码：641 / 650
页数：10
相关论文
共 50 条
  • [41] A reconfigurable parallel architecture for a fuzzy processor
    Ascia, G
    Catania, V
    Puliafito, A
    Vita, L
    INFORMATION SCIENCES, 1996, 88 (1-4) : 299 - 315
  • [42] Stability analysis of parallel fuzzy P + fuzzy I + fuzzy D control systems
    Kumar V.
    Mittal A.P.
    Singh R.
    Kumar, V. (vineetkumar27@gmail.com), 1600, Chinese Academy of Sciences (10): : 91 - 98
  • [43] Stability Analysis of Parallel Fuzzy P + Fuzzy I + Fuzzy D Control Systems
    Vineet Kumar
    A. P. Mittal
    R. Singh
    International Journal of Automation and Computing, 2013, 10 (02) : 91 - 98
  • [44] PARALLEL INFERENCE ENGINE FOR FUZZY CONTROLLERS
    ROSA, RG
    DEPEDRO, T
    DEANDRADE, MT
    CYBERNETICS AND SYSTEMS, 1994, 25 (02) : 359 - 371
  • [45] A dedicated parallel processor for fuzzy computation
    Ascia, G
    Catania, V
    PROCEEDINGS OF THE SIXTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS I - III, 1997, : 787 - 792
  • [46] Parallel Fuzzy Segmentation of Multiple Objects
    Garduno, Edgar
    Herman, Gabor T.
    INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2008, 18 (5-6) : 336 - 344
  • [47] Learning in parallel universes
    Bernd Wiswedel
    Frank Höppner
    Michael R. Berthold
    Data Mining and Knowledge Discovery, 2010, 21 : 130 - 152
  • [48] Learning in parallel universes
    Wiswedel, Bernd
    Hoeppner, Frank
    Berthold, Michael R.
    DATA MINING AND KNOWLEDGE DISCOVERY, 2010, 21 (01) : 130 - 152
  • [49] LEARNING IN PARALLEL NETWORKS
    HINTON, GE
    BYTE, 1985, 10 (04): : 265 - &
  • [50] Parallel Assisted Learning
    Wang, Xinran
    Zhang, Jiawei
    Hong, Mingyi
    Yang, Yuhong
    Ding, Jie
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2022, 70 : 5848 - 5858
12345