DocumentCode
2034230
Title
Application of Adaptive Neuro-Fuzzy Inference System to Forecast of Microwave Effect
Author
Li Ke ; Ma Hong-ge ; Zhou Hai-Jing
Author_Institution
CAEP, Inst. of Appl. Electron., Mianyang
fYear
2009
fDate
23-24 May 2009
Firstpage
1
Lastpage
3
Abstract
In order to solve the forecast problem of microwave effect, the adaptive neuro-fuzzy inference system (ANFIS) is applied and the microwave parameters and its thresholds are adopted as variable. As a result, the ANFIS model based on the microwave effect data is developed, and the confidence level and confidence interval are proposed to appraise the forecasting ability of the ANFIS model. Comparing the output of the ANFIS with the training and testing data, the good forecasting ability, small error and low data requirement are found with the ANFIS.
Keywords
electrical engineering computing; fuzzy neural nets; inference mechanisms; microwaves; adaptive neuro-fuzzy inference system; microwave effect data; microwave effect forecasting; Adaptive systems; Appraisal; Floors; Fuzzy systems; Inference algorithms; Least squares approximation; Microwave frequencies; Physics; Predictive models; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-3893-8
Electronic_ISBN
978-1-4244-3894-5
Type
conf
DOI
10.1109/IWISA.2009.5072738
Filename
5072738
Link To Document