{"id":23634783,"url":"https://github.com/makotokimurajapan/chapter_7_8_systemdatascience_julia","last_synced_at":"2026-04-20T04:03:38.127Z","repository":{"id":257207723,"uuid":"850600213","full_name":"MakotoKimuraJapan/Chapter_7_8_SystemDataScience_Julia","owner":"MakotoKimuraJapan","description":"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","archived":false,"fork":false,"pushed_at":"2024-12-26T01:40:36.000Z","size":2842,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-19T03:41:10.498Z","etag":null,"topics":["calibration","julia","modeling","system-dynamics","validation","vensim"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MakotoKimuraJapan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-09-01T08:45:17.000Z","updated_at":"2024-12-26T05:10:04.000Z","dependencies_parsed_at":"2024-09-15T10:06:10.635Z","dependency_job_id":"6e72a1bc-c793-4232-8dd0-3475d23c64e2","html_url":"https://github.com/MakotoKimuraJapan/Chapter_7_8_SystemDataScience_Julia","commit_stats":null,"previous_names":["makotokimurajapan/systems-data-science-with-julia","makotokimurajapan/chapter7_8_systemdatascience_julia"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/MakotoKimuraJapan/Chapter_7_8_SystemDataScience_Julia","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MakotoKimuraJapan%2FChapter_7_8_SystemDataScience_Julia","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MakotoKimuraJapan%2FChapter_7_8_SystemDataScience_Julia/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MakotoKimuraJapan%2FChapter_7_8_SystemDataScience_Julia/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MakotoKimuraJapan%2FChapter_7_8_SystemDataScience_Julia/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MakotoKimuraJapan","download_url":"https://codeload.github.com/MakotoKimuraJapan/Chapter_7_8_SystemDataScience_Julia/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MakotoKimuraJapan%2FChapter_7_8_SystemDataScience_Julia/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278598600,"owners_count":26013289,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-06T02:00:05.630Z","response_time":65,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["calibration","julia","modeling","system-dynamics","validation","vensim"],"created_at":"2024-12-28T05:19:44.455Z","updated_at":"2025-10-06T10:59:42.887Z","avatar_url":"https://github.com/MakotoKimuraJapan.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Chapter_7_8_SystemDataScience_Julia\nThe following is written in Japanese:\n#\nMicrosoft Visual Studio CodeとJulia 1.10以上を利用した実行が可能。\n\n表7.8 ChatGPT作成のJuliaコード -\u003e NortonBassmodel.ipynb\n\nNBM03 -\u003e NortonBass_Optimized_3.ipynb\n\nNBM05 -\u003e NortonBass_Optimized_5.ipynb\n\nNBM06 -\u003e NortonBass_Optimized_6.ipynb\n\nNBM07 -\u003e NortonBass_Optimized_7.ipynb\n\nNBM021 -\u003e NortonBass_Optimized_21.ipynb\n\n表7.11 NBMのキャリブレーションと数値積分精度の比較\n![Chapter_7_Table_7_11](https://github.com/user-attachments/assets/fae28b07-01d4-4d0d-8819-d68cb3974766)\n#\n図8.3 データ点、パラメータ最適化解、SINDy解の比較\n![Chapter_8_Fig_8_7](https://github.com/user-attachments/assets/a3168b39-b1c3-4901-980d-d366d2be204a)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmakotokimurajapan%2Fchapter_7_8_systemdatascience_julia","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmakotokimurajapan%2Fchapter_7_8_systemdatascience_julia","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmakotokimurajapan%2Fchapter_7_8_systemdatascience_julia/lists"}