このエントリーをはてなブックマークに追加
ID 28422
file
B1002.pdf 314 KB
creator
Nakano, Kazuyoshi
Yamaguchi, Daisuke
Katayama, Fumiyo
Takahashi, Muneo
subject
Intelligent Multiagent System
Neural Networks
Medical Diagnostic Support System
NDC
Technology. Engineering
abstract
Multiagent technologies enable us to explore their sociological and psychological foundations. A medical diagnostic support system is built using this. Moreover, We think that the data inputted can acquire higher diagnostic accuracy by sorting out using a determination table. In this paper, the recurrence diagnostic system of cancer is built and the output error of Multiagent learning method into the usual Neural Network and a Rough Neural Network and Genetic Programming be compared. The data of the prostatic cancer offered by the medical institution and a renal cancer was used for verification of a system. Inspection data of the renal cancer consist of special data. We think improvement of the precision of a system which using the data from initial value of the network.
journal title
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
start page
192
end page
195
date of issued
2009-11
publisher
IEEE SMC Hiroshima Chapter
issn
1883-3977
language
eng
nii type
Conference Paper
HU type
Conference Papers
DCMI type
text
format
application/pdf
text version
publisher
rights
(c) Copyright by IEEE SMC Hiroshima Chapter.
relation url
department
Graduate School of Engineering