Research on Inductive Knowledge Acquisition Method and Application Based on Graph Analysis

Author

Wulamu, Aziguli ; Hongyun, Chen

Author_Institution

Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China

fYear

2010

fDate

17-19 Dec. 2010

Firstpage

1194

Lastpage

1199

Abstract

Inductive learning is one of the basic cognitive skills in experiential knowledge acquisition. The consistency of inductive logic and inductive learning in research objects and methods make it possible to form inductive technique by specification on theories and methods of inductive logic on basis of cognitive mechanics. In this paper, by combining inductive logic theory and graph theory of Shindika´s probability logic system with inductive learning, a new graph-based learning algorithm is proposed and the corresponding machine learning system is built, and then the validity is verified by applying knowledge acquisition to slope stability analysis in mine engineering case.

Keywords

graph theory; knowledge acquisition; learning by example; probabilistic logic; graph analysis; inductive knowledge acquisition; inductive learning; inductive logic; mine engineering case; probability logic system; Algorithm design and analysis; Friction; Knowledge acquisition; Knowledge based systems; Machine learning; Numerical stability; Stability analysis; Graph Theory; Inductive Logic; Knowledge Acquisition; Slope Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2010 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8814-8

Electronic_ISBN

978-0-7695-4270-6

Type

conf

DOI

10.1109/ICCIS.2010.295

Filename

5709495