Penalty-function based on the voting principles and its multi-proposition reasoning systems

Guang Ri Quan; Shi Ji Song; Jing Ping Han; Jun Heng Huang

Penalty-function based on the voting principles and its multi-proposition reasoning systems

Guang Ri Quan^*
, Shi Ji Song
, Jing Ping Han
, Jun Heng Huang

^*Corresponding author for this work

Harbin Institute of Technology Weihai
Tsinghua University

Research output: Contribution to journal › Article › peer-review

Abstract

The reasoning nonmonotonicity system based on the penalty-function presented by Gadi Pinkes did not reflect the human intelligence when applied to the problem of the intelligent route planning and the coal cutting machine fault diagnosis. So the method of constructing the penalty-function based on the voting principles is presented, and experimental results show that it is more reasonable and effective than Gadi Pinkes' theory.

Original language	English
Pages (from-to)	705-707
Number of pages	3
Journal	Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume	36
Issue number	6
State	Published - Jun 2004
Externally published	Yes

Keywords

Hopfield neural net work
Multi-proposition reasoning system
Penalty-function
Reasoning nonmonotone
Rule learning

Cite this

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title = "Penalty-function based on the voting principles and its multi-proposition reasoning systems",

abstract = "The reasoning nonmonotonicity system based on the penalty-function presented by Gadi Pinkes did not reflect the human intelligence when applied to the problem of the intelligent route planning and the coal cutting machine fault diagnosis. So the method of constructing the penalty-function based on the voting principles is presented, and experimental results show that it is more reasonable and effective than Gadi Pinkes' theory.",

keywords = "Hopfield neural net work, Multi-proposition reasoning system, Penalty-function, Reasoning nonmonotone, Rule learning",

author = "Quan, \{Guang Ri\} and Song, \{Shi Ji\} and Han, \{Jing Ping\} and Huang, \{Jun Heng\}",

year = "2004",

month = jun,

language = "英语",

volume = "36",

pages = "705--707",

journal = "Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology",

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T1 - Penalty-function based on the voting principles and its multi-proposition reasoning systems

AU - Quan, Guang Ri

AU - Song, Shi Ji

AU - Han, Jing Ping

AU - Huang, Jun Heng

PY - 2004/6

Y1 - 2004/6

N2 - The reasoning nonmonotonicity system based on the penalty-function presented by Gadi Pinkes did not reflect the human intelligence when applied to the problem of the intelligent route planning and the coal cutting machine fault diagnosis. So the method of constructing the penalty-function based on the voting principles is presented, and experimental results show that it is more reasonable and effective than Gadi Pinkes' theory.

AB - The reasoning nonmonotonicity system based on the penalty-function presented by Gadi Pinkes did not reflect the human intelligence when applied to the problem of the intelligent route planning and the coal cutting machine fault diagnosis. So the method of constructing the penalty-function based on the voting principles is presented, and experimental results show that it is more reasonable and effective than Gadi Pinkes' theory.

KW - Hopfield neural net work

KW - Multi-proposition reasoning system

KW - Penalty-function

KW - Reasoning nonmonotone

KW - Rule learning

UR - https://www.scopus.com/pages/publications/3142665411

M3 - 文章

AN - SCOPUS:3142665411

SN - 0367-6234

VL - 36

SP - 705

EP - 707

JO - Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

JF - Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

IS - 6

ER -

Penalty-function based on the voting principles and its multi-proposition reasoning systems

Abstract

Keywords

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Cite this