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Camera Placement for Network Design In Vision Metrology based On Fuzzy Inference System
Close Range Design Fuzzy Logic
2015/7/14
For measuring complex industrial objects using vision metrology systems, automatic optimum network design is a real challenge. In
the absence of given or simulated 3D CAD models of the objects and th...
Modelling nitrate concentration of groundwater using adaptive neural-based fuzzy inference system
Adaptive Neural-Based Fuzzy Inference System nitrate pollution water quality parameters
2015/3/5
High nitrate concentration in groundwater is a major problem in agricultural areas in Iran. Nitrate pollution in groundwater of the particular regions in Isfahan province of Iran has been investigated...
Risk Mapping of Cutaneous Leishmaniasis via a Fuzzy C Means-based Neuro-Fuzzy Inference System
Cutaneous Leishmaniasis Data Mining Fuzz C Means Clustering Neuro-Fuzzy Systems
2014/12/1
Finding pathogenic factors and how they are spread in the environment has become a global demand, recently. Cutaneous Leishmaniasis (CL) created by Leishmania is a special parasitic disease which can ...
AUTOMATIC ROAD GAP DETECTION USING FUZZY INFERENCE SYSTEM
Gap Detection Road network Fuzzy Inference System
2014/6/5
Automatic feature extraction from aerial and satellite images is a high-level data processing which is still one of the most
important research topics of the field.
In this area, most of the resea...
Adaptive neuro-fuzzy inference system to improve the power quality of variable-speed wind power generation system
Wind power generation system adaptive neuro-fuzzy inference system pitch angle control power quality Matlab/Simulink
2010/10/12
In this study, an adaptive neuro-fuzzy inference system is designed for output voltage and frequency control of a variable-speed wind power generation system. Variable-speed wind power generation syst...
Predicting ERP User Satisfaction―an Adaptive Neuro Fuzzy Inference System (ANFIS) Approach
ANFIS ERP Implementation Outcome Prediction Failure Detection CSFs Causal Factors
2013/1/29
ERP projects’ failing to meet user expectations is a serious problem. This research develops an Adaptive Neuro Fuzzy Inference System (ANFIS) model, to predict the key ERP outcome “User Satisfaction” ...
A QSAR Study for Modeling of 8-Azaadenine Analogues Proposed as A1 Adenosine Receptor Antagonists Using Genetic Algorithm Coupling Adaptive Neuro-Fuzzy Inference System (ANFIS)
8-Azaadenine Analogues Proposed Adenosine Receptor Antagonists Adaptive Neuro-Fuzzy Inference System
2010/9/15
A quantitative structure activity relationship (QSAR) study of 8-azaadenine, as antagonists for the A1 receptor, is described. A genetic algorithm (GA) method was used as the feature selection tool, a...
Prediction of Surface Roughness in Turning Using Adaptive Neuro-Fuzzy Inference System
Adaptive Neuro-Fuzzy Surface Roughness Prediction Turning
2010/1/15
Due to the extensive use of highly automated machine tools in the industry, manufacturing requires reliable models for the prediction of output performance of machining processes. The prediction of su...
An adaptive neuro-fuzzy inference system for the post-calibration of weather radar rainfall estimation
adaptive neuro-fuzzy inference system post-calibration weather radar rainfall estimation
2009/12/4
An Adaptive Neuro-Fuzzy Inference System, based on a jack-knife approach, is proposed for the post-calibration of weather radar rainfall estimation exploiting available raingauge observations. The met...
Computation of Association Probabilities for Single Target Tracking with the Use of Adaptive Neuro-Fuzzy Inference System
Target tracking data association ANFIS
2009/7/28
In this study, a simple method based on the adaptive neuro-fuzzy inference system (ANFIS) is presented for computing the association probabilities. The computed association probabilities are used to t...