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Title:
METHOD AND DEVICE FOR IDENTIFYING TIME SEQUENTIAL DATA
Document Type and Number:
Japanese Patent JP3785703
Kind Code:
B2
Abstract:

PROBLEM TO BE SOLVED: To surely identify time sequential data based on a decision theory and time sequential data based on a stochastic process like a noise.
SOLUTION: Any arbitrary data vector of time sequential data embedded in an n-dimensional state space is provided by a data vector Xi detecting means 1. Directions Ti and Tj of a tangent corresponding to the orbit (trajectory) of a data vector Xj in the space near the data vector Xi provided by this detecting means 1 are provided by a tangential direction detecting means. A discriminating means 3 discriminates whether the tangential directions provided by this tangential direction detecting means 2 are almost equal or not. When these directions are equal as a result of this discrimination, a separate identifying means 4 identifies the time sequential data based on the ideal decision theory and when these directions are not equal, the means 4 identifies the time sequential data, in which the tangential directions are made random by applying any abnormality, namely, impressing random noises to the system, based on the stochastic process.


Inventors:
Five hundred flag head Tadashi
Fujimoto Yasunari
Application Number:
JP28965896A
Publication Date:
June 14, 2006
Filing Date:
October 31, 1996
Export Citation:
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Assignee:
KABUSHIKI KAISHA MEIDENSHA
International Classes:
G06F17/10; G06F17/14; F16H61/00; G01D1/00; G01D21/00; G01M99/00; G06F17/00; G06F17/18; G06F19/00; G06G7/63; G06N5/00; G06Q10/04; (IPC1-7): G06F17/14; G06F17/00
Domestic Patent References:
JP9126957A
JP7210538A
JP6281480A
JP6096055A
JP6028335A
JP2003307497A
Other References:
五百旗頭 正,カオス理論とその応用、カオスと予測,日本ファジィ学会誌,日本,日本ファジィ学会,1995年 6月15日,第7巻 第3号,pp. 486-494
五百旗頭 正,外,軌道平行測度法による決定論と確率過程の分離,電気学会研究会資料,産業システム情報化研究会,日本,社団法人電気学会,1997年 7月 4日,第97-32/39巻,pp. 7-12
藤本 泰成,五百旗頭 正,外,観測された時系列データの決定論的性質を測る軌道平行測度法,日本ファジィ学会誌,日本,日本ファジィ学会,1997年 7月 4日,第9巻 第4号,pp. 150 - 158
Attorney, Agent or Firm:
Tsuyoshi Hashimoto