[PDF] Top 20 Application of Artificial Neural Network and Adaptive Neural based Fuzzy Inference System Techniques in Estimating of Virtual Water
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Application of Artificial Neural Network and Adaptive Neural based Fuzzy Inference System Techniques in Estimating of Virtual Water
... of water resources availability is uneven spatially and temporally, so that the central, eastern and southern part of the country faces ...actual water use is 87.5×10 9 m 3 , of which agricultural ... See full document
8
Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools
... analysis techniques such as the finite-element method [6] and the Newton-Raphson method [7] are utilized for thermal error ...is based on the measurement of temperature changes and thermal drift of the ... See full document
11
WEATHER FORECASTING USING SOFT COMPUTING TECHNIQUES
... the application of science and technology to predict the state of the atmosphere for a future time at a given ...study Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multi-Layer ... See full document
8
Virtual Sensors for Safe Operation of Electrolyser and Hydrogen powered Car
... and application of hydrogen as an energy carrier for stationary and mobile applications, there is increasing pressure to ensure the safe handling and monitoring of this highly combustible ...thesis, ... See full document
14
Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS) Approaches
... of fuzzy logic and neural networks in order to solve wide variety of real world problems in an effective ...Since neural networks are good at recognizing patterns and not good at explaining how they ... See full document
11
Comparing Soft Computing Techniques for Estimating Demand of Season Ticket Holders
... computing techniques, adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN), were utilized to predict demand of season ticket holders of ... See full document
5
Hybrid Models Performance Assessment to Predict Flow of Gamasyab River
... for water resource ...Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of ... See full document
10
Deduction of reservoir operating rules for application in global hydrological models
... the water cycle, such as caused by dams. Dam operators make decisions based on experience and often uncertain informa- ...derive fuzzy rules describing the way a reservoir is ...an artificial ... See full document
21
Estimation of Punching Shear Capacity of Concrete Slabs Using Data Mining Techniques
... mining techniques as a substitute of former to predict the punching loads on the variation of various ...mining techniques including Adaptive Neuro-fuzzy Inference System ... See full document
7
Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing
... in water resources management, scheduling of farm irrigation, and environmental ...three artificial intelligence (AI) techniques comprising adaptive neuro-fuzzy inference ... See full document
12
Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method
... using Adaptive Neuro-Fuzzy Inference System (ANFIS) method is better than Artificial Neural Network (ANN) method, this is indicated by MAPE resulting from weekly ... See full document
7
“Genetically Tuned Optimization Of Plastic Extrusion Process: A Litreture Review”
... back-propagation neural network model was used to predict the parison swells under the effect of ...2-20-20 neural network architecture with two input nodes, one hidden layer with 20 nodes, ... See full document
7
The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... of system, they work independently. Hence, during the network adjusting at a certain level the fuzzy system remains without any ...specific fuzzy system ...neuro fuzzy ... See full document
6
A NEURAL FUZZY APPROACH TO MODELING THE THERMAL BEHAVIOR OF POWER TRANSFORMERS
... Elman neural network is a partial recurrent network model that was first proposed by Elman (Elman, ...recurrent network, an Elman network has a number of context nodes in the input ... See full document
139
Modelling the formation of Ozone in the air by using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case study: city of Yazd, Iran)
... to react with water in the environment (Banan et al., 2013; Fuhrer et al., 1997). Ozone is an important greenhouse gas whose high concentration causes multiple diseases such as respiratory dysfunctions in humans, ... See full document
5
Proactive dynamic virtual-machine consolidation for energy conservation in cloud data centres
... Raed Karim received his B.Sc., M.Sc. and Ph.D. degrees in Computer Science from Ryerson University in Toronto, Ontario, Canada in 2009, 2011 and 2015, respectively. He is currently working as an IT consultant focusing on ... See full document
28
Modelling tide prediction using linear model and adaptive neuro fuzzy inference system (ANFIS) in Semarang, Indonesia
... Neuro fuzzy and neural network technique was developed by Karimi at ...Neuro fuzzy and neural network models had similar forecast accuracy, and their accuracy were better than ... See full document
5
INTELLIGENT SELF TUNING PID CONTROLLER USING HYBRID IMPROVED PARTICLE SWARM OPTIMIZATION FOR ULTRASONIC MOTOR
... Vortex Induced Vibration (VIV) is one of the problems which lead to the fatigue damage in the offshore applications field such as pipeline and risers because of the dynamic behavior which is mounted on the pipe cylinder ... See full document
9
Research of Planetary Gear Fault Diagnosis Based on Permutation Entropy of CEEMDAN and ANFIS
... gear based on permutation entropy of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) Adaptive Neuro-fuzzy Inference System (ANFIS) in this ...the ... See full document
20
Survey on Credit Card Fraud Detection Methods
... and Neural network approach is automatic credit card fraud detection system and type of artificial intelligence programming which is based on variety of methods including machine ... See full document
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