Empirical evaluation of object-oriented programming effectiveness in different types of program

Author

Nishimura, Kazuo

Author_Institution

Dept. of Network & Commun., Kanagawa Inst. of Technol., Kanagawa, Japan

fYear

2009

fDate

18-21 Aug. 2009

Firstpage

5537

Lastpage

5543

Abstract

This paper discusses effectiveness of object-oriented programming by applying it to five different types of program; that is, load flow computation, inference engine, semantic network, minimum distance path problem, and back propagation learning algorithm for three layer neural network. The results will give some clues to readers to determine whether they should employ object-oriented programming or not when they need to develop a program.

Keywords

backpropagation; inference mechanisms; neural nets; object-oriented programming; semantic networks; back propagation learning algorithm; inference engine; load flow computation; minimum distance path problem; object-oriented programming; semantic network; three layer neural network; Computer networks; Engines; Inference algorithms; Java; Load flow; Load flow analysis; Neural networks; Object oriented programming; Power system analysis computing; Productivity; Java programming; back propagation; inference engine; load flow analysis; minimum distance path problem; neural network; object-oriented programming; semantic network;

fLanguage

English

Publisher

ieee

Conference_Titel

ICCAS-SICE, 2009

Conference_Location

Fukuoka

Print_ISBN

978-4-907764-34-0

Electronic_ISBN

978-4-907764-33-3

Type

conf

Filename

5333315