Curve fitting for coarse data using artificial neural network

被引：0
|
作者：
Balasubramanyam, C. [1 ]
Ajay, M.S. [2 ]
Spandana, K.R. [2 ]
Shetty, Amogh B. [2 ]
Seetharamu, K.N. [2 ]
机构：
[1] Atria Institute of Technology, Department of Mechanical Engineering, 001B, DS max, 1st main, Best county-II, MS Palya, Bangalore, India
[2] PES Institute of Technology, Department of Mechanical Engineering, 100ft ring road, BSK III stage, Bangalore, India
来源：
WSEAS Transactions on Mathematics | 2014年 / 13卷 / 01期
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：406 / 415
相关论文
共 50 条
  • [21] Evaluating the effect of temperature and concentration on the thermal conductivity of ZnO-TiO2/EG hybrid nanofluid using artificial neural network and curve fitting on experimental data
    Safaei, Mohammad Reza
    Hajizadeh, Ahmad
    Afrand, Masoud
    Qi, Cong
    Yarmand, Hooman
    Zulkifli, Nurin Wahidah Binti Mohd
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 519 : 209 - 216
  • [22] An Improved RBF Neural Network Approach to Nonlinear Curve Fitting
    Li, Michael M.
    Verma, Brijesh
    ADVANCES IN COMPUTATIONAL INTELLIGENCE, PT II, 2015, 9095 : 262 - 275
  • [23] Study on application of quantum BP neural network to curve fitting
    Xie, J. (xjp1386@hotmail.com), 1600, Universitas Ahmad Dahlan, Jalan Kapas 9, Semaki, Umbul Harjo,, Yogiakarta, 55165, Indonesia (11):
  • [24] Classification of Robotic Data using Artificial Neural Network
    Gopalapillai, Radhakrishnan
    Vidhya, J.
    Gupta, Deepa
    Sudarshan, T. S. B.
    2013 IEEE RECENT ADVANCES IN INTELLIGENT COMPUTATIONAL SYSTEMS (RAICS), 2013, : 333 - 337
  • [25] Reconstruction of SPECT data using an artificial neural network
    Knoll, P
    Mirzaei, S
    Neumann, M
    Koriska, K
    Köhn, H
    RADIOACTIVE ISOTOPES IN CLINICAL MEDICINE AND RESEARCH XXIII, 1999, : 307 - 312
  • [26] A RBF Neural Network Approach for Fitting Creep Curve of Sandstone
    Tan, Yunliang
    Zhang, Ze
    ACHIEVEMENTS IN ENGINEERING MATERIALS, ENERGY, MANAGEMENT AND CONTROL BASED ON INFORMATION TECHNOLOGY, PTS 1 AND 2, 2011, 171-172 : 274 - 277
  • [27] Robustly Fitting and Forecasting Dynamical Data With Electromagnetically Coupled Artificial Neural Network: A Data Compression Method
    Wang, Ziyin
    Liu, Mandan
    Cheng, Yicheng
    Wang, Rubin
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 28 (06) : 1397 - 1410
  • [28] On improving data fitting procedure in reservoir operation using artificial neural networks
    Mohan, S
    Bai, VR
    INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, 2003, : 13 - 21
  • [29] USING THE ARTIFICIAL NEURAL NETWORK TO APPROXIMATE THE GAS-LIFT PERFORMANCE CURVE
    Marcu, Mariea
    ACTA TECHNICA NAPOCENSIS SERIES-APPLIED MATHEMATICS MECHANICS AND ENGINEERING, 2022, 65 (03): : 325 - 330
  • [30] Prediction of forming pressure curve for hydroforming processes using artificial neural network
    Hyun, B.S.
    Cho, H.S.
    Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 1994, 208 (02) : 109 - 121
12345