• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2012 Fiscal Year Final Research Report

Development of high accurate method for parameter estimation by the combination of numerical optimization and symbolic computation

Research Project

  • PDF
Project/Area Number 23700358
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Bioinformatics/Life informatics
Research InstitutionKyoto University

Principal Investigator

NAKATSUI Masahiko  京都大学, 大学院・薬学研究科, 特定研究員 (10509532)

Project Period (FY) 2011 – 2012
Keywords生体生命システム情報学
Research Abstract

We proposed highly accurate parameter estimation method based on time-series data, by introducing constraints equations among estimated parameters derived rationally by symbolic computing technique to numerical optimization method. The performance of our proposed method of parameter accuracy is demonstrated by some representative model in biology, especially negative feed-back model which yields oscillations. The highly accurate parameter estimation method for dynamical systems we proposed will be the basis of systemically identification, analysis, control, and design of biological phenomena.

  • Research Products

    (3 results)

All 2012 2011

All Journal Article (3 results) (of which Peer Reviewed: 3 results)

  • [Journal Article] A General Procedure for Accurate parameter Estimation in Dynamic Systems Using New Estimation Errors2012

    • Author(s)
      Masahiko Nakatsui, Alexandre Sedglavic, Francois Lemaire, Francois Boulier, Asli Urguplu, and Katsuhisa Horimoto
    • Journal Title

      Algebraic and Numeric Biology, Lecture Notes in Computer Science

      Volume: Volume 6479 Pages: 149-166

    • Peer Reviewed
  • [Journal Article] Efficient numerical optimization algorithm based on new real-coded genetic algorithm, AREX + JGG, and application to the inverse problem in systems biology2012

    • Author(s)
      Asako Komori, Yukihiro Maki, Masahiko Nakatsui, Isao Ono, and Masahiro Okamoto
    • Journal Title

      Applied Mathematics

      Volume: 3 Pages: 1463-1470

    • Peer Reviewed
  • [Journal Article] Brute force meets Bruno force in parameter optimization: introduction of novel constraints for parameter accuracy improvement by symbolic computation2011

    • Author(s)
      Masahiko Nakatsui, Katsuhisa Horimoto, Francois Lemaire, Asli Urguplu, Alexandre Sedglavic, Francois Boulier
    • Journal Title

      IET Systems Biology

      Volume: Volume 5 Issue 5 Pages: 281-292

    • Peer Reviewed

URL: 

Published: 2014-08-29   Modified: 2014-09-06  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi