https://github.com/makotokimurajapan/chapter_7_8_systemdatascience_julia

System Dynamics modeling of Norton Bass Model into Julia codes and validation. Juliaコードによる動的モデルの誤差評価
https://github.com/makotokimurajapan/chapter_7_8_systemdatascience_julia

calibration julia modeling system-dynamics validation vensim

Last synced: about 2 months ago
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System Dynamics modeling of Norton Bass Model into Julia codes and validation. Juliaコードによる動的モデルの誤差評価

• Host: GitHub
• URL: https://github.com/makotokimurajapan/chapter_7_8_systemdatascience_julia
• Owner: MakotoKimuraJapan
• License: mit
• Created: 2024-09-01T08:45:17.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-12-26T01:40:36.000Z (over 1 year ago)
• Last Synced: 2025-05-19T03:41:10.498Z (about 1 year ago)
• Topics: calibration, julia, modeling, system-dynamics, validation, vensim
• Language: Jupyter Notebook
• Homepage:
• Size: 2.71 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Chapter_7_8_SystemDataScience_Julia

The following is written in Japanese:

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Microsoft Visual Studio CodeとJulia 1.10以上を利用した実行が可能。

表7.8 ChatGPT作成のJuliaコード -> NortonBassmodel.ipynb

NBM03 -> NortonBass_Optimized_3.ipynb

NBM05 -> NortonBass_Optimized_5.ipynb

NBM06 -> NortonBass_Optimized_6.ipynb

NBM07 -> NortonBass_Optimized_7.ipynb

NBM021 -> NortonBass_Optimized_21.ipynb

表7.11 NBMのキャリブレーションと数値積分精度の比較

![Chapter_7_Table_7_11](https://github.com/user-attachments/assets/fae28b07-01d4-4d0d-8819-d68cb3974766)

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図8.3 データ点、パラメータ最適化解、SINDy解の比較

![Chapter_8_Fig_8_7](https://github.com/user-attachments/assets/a3168b39-b1c3-4901-980d-d366d2be204a)