DocumentCode
2720427
Title
Solving the file design problem with neural networks
Author
Liang, J. ; Chang, C.C. ; Lee, R.C.T. ; Wang, J.S.
Author_Institution
Inst. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear
1991
fDate
27-30 Mar 1991
Firstpage
53
Lastpage
59
Abstract
The authors extend the application scope of the Hopfield-Tank neural network to the design of databases. The model is used to solve a particular file design problem. By a partial match query, the authors find a subset records satisfying the specified conditions. The experimental results show that the paradigm proposed is indeed a feasible approach to obtain good solutions
Keywords
file organisation; neural nets; Hopfield-Tank neural network; databases; file design problem; neural networks; partial match query; subset records; Computer networks; Computer science; Design optimization; Hopfield neural networks; Humans; Neural networks; Neurons; Pattern recognition; Robot control; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers and Communications, 1991. Conference Proceedings., Tenth Annual International Phoenix Conference on
Conference_Location
Scottsdale, AZ
Print_ISBN
0-8186-2133-8
Type
conf
DOI
10.1109/PCCC.1991.113791
Filename
113791
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