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Adaptive neuro fuzzy inference system

Known as: Adaptive neuro-fuzzy inference system, Adaptive-neuro-fuzzy inference system, ANFIS 
An adaptive neuro-fuzzy inference system or adaptive network-based fuzzy inference system (ANFIS) is a kind of artificial neural network that is… 
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Papers overview

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2014
2014
Rainfall is one of the most complex and difficult elements of the hydrologic cycle. The trend and forecasting of rainfall is very… 
2013
2013
: Neuro fuzzy hybrid system is a learning mechanism that utilizes the training and learning neural networks to find parameters of… 
2013
2013
Premature convergence is an important problem in evolutionary algorithms, in particular genetic algorithm. The diversity of the… 
2010
2010
ERP projects’ failing to meet user expectations is a serious problem. This research develops an Adaptive Neuro Fuzzy Inference… 
2009
2009
Due to the extensive use of highly automated machine tools in the industry, manufacturing requires reliable models for the… 
2009
2009
  • A. Kablan
  • 2009
  • Corpus ID: 15685203
The prediction of financial time series is a very complicated process. An initial look at financial time series gives the… 
2009
2009
Supply chain flexibility assessment (SCFA) has been considered as a major determinant of competitiveness in world class… 
2007
2007
As the global political will to address climate change gains momentum, the issues associated with integrating an increasing… 
2007
2007
The main purpose of this paper is to incorporate several soft computing techniques into the classifying system to detect and… 
2007
2007
In this paper, we propose a hybrid soft computing technique called adaptive neuro-fuzzy inference system (ANFIS) to estimate the…