搜索结果: 1-15 共查到“Neuro-Fuzzy”相关记录27条 . 查询时间(0.065 秒)
Neuro-fuzzy modeling for crop yield prediction
Neural Networks Neuro-Fuzzy Fuzzy Neural Networks
2015/8/20
The purpose of this paper is to explore the dynamics of neural networks in forecasting crop (wheat) yield using remote sensing and
other data. We use the Adaptive Neuro-Fuzzy Inference System (ANFIS)...
Estimation of Aquifer Transmissivity using Kriging, Artificial Neural Network, and Neuro-Fuzzy models
ransmissivity Kriging Artificial Neural Network ANFIS Neuro-Fuzzy interpolation groundwater
2015/8/11
In interpolation of groundwater properties such as transmissivity, due to the unknown distributed values of the variables and heterogenity, the best and the unbiased aspects are frequently difficult t...
Prediction of Ground Water Vulnerability using an Integrated GIS-based neuro-fuzzy techniques
Geographic Information System GIS
2015/8/6
There is a need to develop new modeling techniques that assess ground water vulnerability with less expensive data and which are robust when data are uncertain and incomplete. Incorporation of Geograp...
A COMPARISON OF NEURO-FUZZY AND TRADITIONAL IMAGE SEGMENTATION METHODS FOR AUTOMATED DETECTION OF BUILDINGS IN AERIAL PHOTOS
neural segmentation classifi cation
2015/3/24
Using a set of colour-infrared aerial photos, we compare a newly developed neural net based clustering method with a
method based on the classical ISODATA algorithm. The primary focus is on the detec...
Estimation of Aquifer Transmissivity using Kriging, Artificial Neural Network, and Neuro-Fuzzy models
Neuro-Fuzzy interpolation groundwater
2015/1/6
In interpolation of groundwater properties such as transmissivity, due to the unknown distributed values of the variables and heterogenity, the best and the unbiased aspects are frequently difficult t...
Prediction of Ground Water Vulnerability using an Integrated GIS-based neuro-fuzzy techniques
Geographic Information System GIS Spatial Modeling Remote Sensing Fuzzy Logic Neural Networks
2015/1/4
There is a need to develop new modeling techniques that assess ground water vulnerability with less expensive data and which are robust when data are uncertain and incomplete. Incorporation of Geograp...
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 ...
Adaptive Neuro-Fuzzy Logic System for Heavy Metal Sorption in Aquatic Environments
Adaptive Neuro-Fuzzy Simulation, Heavy Metal Sorption Aquatic Systems Forecast
2013/3/19
In this paper, adaptive neuro-fuzzy inference system ANFIS is used to assess conditions required for aquatic systems to serve as a sink for metal removal; it is used to generate information on the beh...
Adaptive Neuro-Fuzzy Logic System for Heavy Metal Sorption in Aquatic Environments
Adaptive Neuro-Fuzzy Simulation, Heavy Metal Sorption Aquatic Systems Forecast
2013/3/19
In this paper, adaptive neuro-fuzzy inference system ANFIS is used to assess conditions required for aquatic systems to serve as a sink for metal removal; it is used to generate information on the beh...
Inverse neuro-fuzzy MR damper model and its application in vibration control of vehicle suspension system
MRdamper ANFIS inverse model semi-active control LQG control vehicle suspension
2015/3/30
In this paper, a magneto-rheological (MR) damper-based semi-active controller for vehicle suspension is developed. This system consists of a linear quadratic Gauss (LQG) controller as the system contr...
Neuro-fuzzy soft-switching hybrid filter for impulsive noisy environments
a-stable noise nonlinear filtering myriad filter hybrid filter
2011/3/22
In this study, a new soft-switching hybrid filter based on a neuro-fuzzy network for impulsive noisy environments is proposed. The hybrid filter was built by combining an adaptive finite impulse respo...
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...
Finite element based adaptive neuro-fuzzy inference technique for parameter identification of multi-layered transportation structures
transportation structures non-destructive testing pavement neural networks fuzzy inference finite element
2010/10/29
During the service life of a pavement, it is often required to conduct Non-destructive tests (NDTs) to evaluate its structural condition and bearing capacity and to detect damage resulting from the re...