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MACHINE LEARNING SYSTEM AND MACHINE LEARNING METHOD NEW

外国特許コード F190009964
整理番号 (S2018-0281-N0)
掲載日 2019年10月25日
出願国 世界知的所有権機関(WIPO)
国際出願番号 2019JP004061
国際公開番号 WO 2019156070
国際出願日 平成31年2月5日(2019.2.5)
国際公開日 令和元年8月15日(2019.8.15)
優先権データ
  • 特願2018-022132 (2018.2.9) JP
発明の名称 (英語) MACHINE LEARNING SYSTEM AND MACHINE LEARNING METHOD NEW
発明の概要(英語) In order to build a machine learning model relating to a change over time in a phenomenon appropriately using a small amount of training data, a machine learning system 1 according to one embodiment of the present invention is provided with: an input unit 7 for appending, with respect to input data at a specific point in time, elapsed time information relating to an elapsed time at a specific point in time after the occurrence of a predetermined event, and for inputting the result; and a learning device 9 for optimizing a parameter of the model by means of machine learning, on the basis of the input data with the elapsed time information appended thereto, input by the input unit 7.
従来技術、競合技術の概要(英語) BACKGROUND ART
In recent years, plant, animal or the like of the organism associated with the temporal change of the natural phenomenon, such as a stock price model the temporal change of the phenomenon of the social machine learning techniques are beginning to penetrate. In the following non-patent document 1, the time-series features can be superimposed in a machine learning approach to build a model of the neural network (RNN: Recurrent Neural Networks) a recursive-type has been described. In addition, the following Non-patent Document 2 and Non-Patent Literature 3 is, as a kind of the RNN (Long Short-Term Memory) of the LSTM will be described. In this method, compared with the RNN model of time-series characteristic of a long period of time can be superimposed on, various time-series data of the estimation or prediction are applied.
  • 出願人(英語)
  • ※2012年7月以前掲載分については米国以外のすべての指定国
  • NATIONAL UNIVERSITY CORPORATION SHIZUOKA UNIVERSITY
  • 発明者(英語)
  • MINENO Hiroshi
  • WAKAMORI Kazumasa
  • MOCHIZUKI Daisuke
国際特許分類(IPC)
  • G06N020/00
指定国 National States: AE AG AL AM AO AT AU AZ BA BB BG BH BN BR BW BY BZ CA CH CL CN CO CR CU CZ DE DJ DK DM DO DZ EC EE EG ES FI GB GD GE GH GM GT HN HR HU ID IL IN IR IS JO JP KE KG KH KN KP KR KW KZ LA LC LK LR LS LU LY MA MD ME MG MK MN MW MX MY MZ NA NG NI NO NZ OM PA PE PG PH PL PT QA RO RS RU RW SA SC SD SE SG SK SL SM ST SV SY TH TJ TM TN TR TT TZ UA UG US UZ VC VN ZA ZM ZW
ARIPO: BW GH GM KE LR LS MW MZ NA RW SD SL SZ TZ UG ZM ZW
EAPO: AM AZ BY KG KZ RU TJ TM
EPO: AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
OAPI: BF BJ CF CG CI CM GA GN GQ GW KM ML MR NE SN ST TD TG
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