2021 Fiscal Year Final Research Report
Proposal for the development of a high-speed logic machine learning system that realizes the creation of summary sentences that can explain the learning results
Project/Area Number |
19K12105
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 61030:Intelligent informatics-related
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Research Institution | Tokyo University of Science |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
秦野 亮 東京理科大学, 理工学部経営工学科, 助教 (50808657)
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Project Period (FY) |
2019-04-01 – 2022-03-31
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Keywords | 高速論理型機械学習器 / 要約文章作成 / 分散人工知能 |
Outline of Final Research Achievements |
In this research, we proposed the development of a high-speed logic machine learning system that can generate the extracted wisdom and experience as a summary sentence for the purpose of extracting the wisdom and experience based on human contemplation as readable information. So, we designed a collaborative module that implements the collaborative communication protocol required for collaborative processing in order to speed up the logical machine learning device by distributed processing and improve the accuracy of the learning process. We also designed a summary text creation module and a high-speed logic machine learning system that implements both modules. By operating this system via a cloud environment, we provided dairy farmers with the learning results for the data obtained in the dairy field as summary sentences, and contributed as a system that can advise the development process and disease status of the dairy cow.
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Free Research Field |
分散人工知能
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Academic Significance and Societal Importance of the Research Achievements |
本研究では,人間の熟考に基づく知恵や経験を可読可能な情報として抽出することを目的として,抽出された知恵や経験を要約文章として生成可能な高速論理型機械学習器の開発を提案し,高速論理型並列機械学習システムとして実装した.本提案の実現により,論理型機械学習器の高速な運用を可能にするだけでなく,人間の経験則に基づく様々な分野の英知を,論理的な説明情報として明らかにすることが可能になる.その実施例として,本研究では酪農分野に本システムを応用し,得られたデータに対する学習結果を酪農家に対してウエブブラウザを介して要約情報等の提供を行い,その発育過程や疾病状況を助言可能にするなどの貢献を実現した.
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