Fuzzy inference systems and artificial neural networks for continuous piecewise multilinear interpolation

被引:1
|
作者
Westphal, LC [1 ]
机构
[1] Univ Queensland, Dept Elect & Comp Engn, Brisbane, Qld 4072, Australia
关键词
D O I
10.1049/el:19981252
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
Formulas are presented for structures for fuzzy inference systems and artificial neural networks whose output functions are equivalent to each other and to using continuous piecewise multilinearisation for interpolation on a regular grid. This result leads to alternative interpretations, initialisation methods, and implementations of the networks.
引用
下载
收藏
页码:1764 / 1766
页数:3
相关论文
共 50 条
  • [21] CONSTRUCTIVE NEURAL NETWORKS WITH PIECEWISE INTERPOLATION CAPABILITIES FOR FUNCTION APPROXIMATIONS
    CHOI, CH
    CHOI, JY
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 1994, 5 (06): : 936 - 944
  • [23] The relation between inference and interpolation in the framework of fuzzy systems
    Klawonn, F
    Novak, V
    FUZZY SETS AND SYSTEMS, 1996, 81 (03) : 331 - 354
  • [24] Artificial hydrocarbon networks fuzzy inference systems for CNC machines position controller
    Arturo Molina
    Hiram Ponce
    Pedro Ponce
    Guillermo Tello
    Miguel Ramírez
    The International Journal of Advanced Manufacturing Technology, 2014, 72 : 1465 - 1479
  • [25] Artificial hydrocarbon networks fuzzy inference systems for CNC machines position controller
    Ponce, H. (hiram.ponce@itesm.mx), 1600, Springer London (72): : 9 - 12
  • [26] Artificial hydrocarbon networks fuzzy inference systems for CNC machines position controller
    Molina, Arturo
    Ponce, Hiram
    Ponce, Pedro
    Tello, Guillermo
    Ramirez, Miguel
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 72 (9-12): : 1465 - 1479
  • [27] INTERPOLATION OF FUZZY IF-THEN RULES BY NEURAL NETWORKS
    ISHIBUCHI, H
    TANAKA, H
    OKADA, H
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 1994, 10 (01) : 3 - 27
  • [28] Artificial neural networks as a tool for spatial interpolation
    Rigol, JP
    Jarvis, CH
    Stuart, N
    INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2001, 15 (04) : 323 - 343
  • [29] Prediction of Yield Sooting Index Utilizing Artificial Neural Networks and Adaptive-Network-Based Fuzzy Inference Systems
    Alboqami, Faisal D. D.
    Pasha, Amjad A. A.
    Alam, Mohammad Irfan
    Abdulraheem, Abdulazeez
    Jameel, Abdul Gani Abdul
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2023, 48 (07) : 8901 - 8909
  • [30] Photovoltaic Module Temperature Estimation: A Comparison Between Artificial Neural Networks and Adaptive Neuro Fuzzy Inference Systems Models
    Tziu Dzib, J.
    Alejos Moo, E. J.
    Bassam, A.
    Flota-Banuelos, Manuel
    Escalante Soberanis, M. A.
    Ricalde, Luis J.
    Lopez-Sanchez, Manuel J.
    INTELLIGENT COMPUTING SYSTEMS, 2016, 597 : 46 - 60