拡張型カオス尺度による多次元時系列データのカオス解析

• Project/Area Number: 21K12063
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 61040:Soft computing-related
• Research Institution: Tokyo University of Science, Yamaguchi
• Principal Investigator: 井上 啓 山陽小野田市立山口東京理科大学, 工学部, 教授 (70307700)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Project Status: Adopted (Fiscal Year 2021)
• Budget Amount: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000); Fiscal Year 2023: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2022: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2021: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)