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NUMERICAL THEORY FOR COMPRESSING PROBABILITY BY APPROXIMATE ITERATIVE PROCEDURE

机译:近似迭代过程压缩概率的数值理论

摘要

PROBLEM TO BE SOLVED: To theorize a mathematical technique for enhancing probability by compressing a numerical value in a situation where the probability is lowered as a mathematical application of probability.;SOLUTION: Probability is compressed by an approximate iterative procedure. All data are partially approximated, and the probability is compressed by further iteratively repeating approximation by a group of the approximated data. Since the approximation is further repeated from an approximate value obtained by approximating reliable data in a reliable range, the probability can be compressed by a small error. As a result, the probability can be compressed with the precision of the original probability kept.;COPYRIGHT: (C)2007,JPO&INPIT
机译:要解决的问题:通过降低数值作为概率的数学应用,通过压缩数值来理论化一种通过增加数值来增强概率的数学技术;解决方案:通过近似的迭代过程来压缩概率。所有数据都是部分近似的,并且通过对一组近似数据进行进一步的迭代重复近似来压缩概率。由于从在可靠范围内对可靠数据进行近似所获得的近似值进一步重复了该近似,所以可以通过小的误差来压缩概率。结果,可以以保持原始概率的精度压缩概率。;版权所有:(C)2007,JPO&INPIT

著录项

  • 公开/公告号JP2006338639A

    专利类型

  • 公开/公告日2006-12-14

    原文格式PDF

  • 申请/专利权人 KASAHARA MASAHARU;

    申请/专利号JP20050187307

  • 发明设计人 KASAHARA MASAHARU;

    申请日2005-05-31

  • 分类号G06F17/17;

  • 国家 JP

  • 入库时间 2022-08-21 21:11:35

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