Long-Term Prediction of Discharges in Manwan Hydropower Using Adaptive-Network-Based Fuzzy Inference Systems Models

2005 ◽  
pp. 1152-1161 ◽  
Author(s):  
Chun-Tian Cheng ◽  
Jian-Yi Lin ◽  
Ying-Guang Sun ◽  
Kwokwing Chau
Keyword(s):  
Fuzzy Inference ◽  
Fuzzy Inference Systems ◽  
Adaptive Network ◽  
Term Prediction ◽  
Systems Models ◽  
Inference Systems ◽  
Long Term Prediction

Evaluate Fabric Wrinkle Grade Based on Subtractive Clustering Adaptive Network Fuzzy Inference Systems

2011 ◽  
Vol 332-334 ◽  
pp. 1505-1510
Author(s):  
Xiao Bo Yang
Keyword(s):  
Network Inference ◽  
Clustering Algorithm ◽  
Fuzzy Inference ◽  
Real Data ◽  
Subtractive Clustering ◽  
Fuzzy Inference Systems ◽  
Adaptive Network ◽  
Inference System ◽  
Fuzzy Neural ◽  
Inference Systems

In this paper, a new method of subtractive clustering adaptive network fuzzy inference systems is proposed to assess degree of wrinkle in the fabric. The clustering center can be gotten through subtractive clustering algorithm, which is the base to set up adaptive network inference systems. Firstly, subtractive clustering algorithm is used to confirm the structure of fuzzy neural network, then, fuzzy inference system is used to process pattern recognition. Finally, four kinds of fabric wrinkle feature parameters are used to verify the results on real fabric. The results show the applicability of the proposed method to real data.

scholarly journals Leuconostoc Mesenteroides Growth in Food Products: Prediction and Sensitivity Analysis by Adaptive-Network-Based Fuzzy Inference Systems

PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e64995 ◽  
Author(s):  
Hue-Yu Wang ◽  
Ching-Feng Wen ◽  
Yu-Hsien Chiu ◽  
I-Nong Lee ◽  
Hao-Yun Kao ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Leuconostoc Mesenteroides ◽  
Fuzzy Inference ◽  
Food Products ◽  
Fuzzy Inference Systems ◽  
Adaptive Network ◽  
Inference Systems
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