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 :
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