Parametric Prediction Model Using Expert System and Fuzzy Harmonic System

被引：0

作者：

Bel, W. ^{[1
]}

Lopez De Luise, D. ^{[1
]}

Asmis, A. ^{[1
]}

Mansilla, D. ^{[1
]}

机构：

[1] CI2S Lab, Pringles 10 2nd FL,C1183ADB, Buenos Aires, DF, Argentina

来源：

SOFT COMPUTING APPLICATIONS, SOFA 2016, VOL 2 | 2018年 / 634卷

关键词：

Expert systems; Harmonic system; Fuzzy logic; Risk prediction;

D O I：

10.1007/978-3-319-62524-9_10

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Timing of events is a compelling subject under research. This paper presents a model that aims to refine critical parameters in systems focused on detection of peculiar pattern of time in parameter's variations for predefined events. that works in real-time. The relevant parameters are presented and the fuzzification process is depicted. Furthermore the global architecture of the KRONOS prototype (the one that implements the proposed model) is also described as well as a case of study. Since a good test set is very difficult to obtain, it remains as a work in progress task and not included as part of this paper.

引用

页码：117 / 139

页数：23