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18 results with keyword: 'long forecasting based adaptive neural fuzzy inference energy'

Electrical Load Forecasting Between 2015 and 2035 for Turkey Using Mathematical Modeling and Dynamic Programming

Long-term load forecasting based on adaptive neural fuzzy inference system using real energy data.. Long-term load forecasting for fast developing utility using a

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2020
Long-term load forecasting based on adaptive neural fuzzy inference system using real energy data

Selection and/or peer-review under responsibility of ICAEE 2011 Keywords: Adaptive neural fuzzy inference system; long term forecasting; mean absolute error; mean absolute

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2021
Modelling tide prediction using linear model and adaptive neuro fuzzy 
		inference system (ANFIS) in Semarang, Indonesia

Meanwhile, forecasting methods with non- linear approach uses neural network, fuzzy and Adaptive neuro fuzzy inference system (ANFIS).. Furthermore, ARIMA model that

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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis

This paper presents two neural fuzzy (NN/FZ) inference systems, namely, Fuzzy Adaptive Learning Control/Decision Network (FALCON) and Adaptive Network Based Fuzzy Inference

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Skin Color Segmentation in RGB Color Space by Adaptive Network Based Fuzzy Inference System (ANFIS)

Adaptive Network Based Fuzzy Inference System (ANFIS) structure presented in 1993 is the result of integrating adaptive neural networks and fuzzy logic the

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2021
UNDERSTANDING DRIVER BEHAVIOUR RELATIONSHIP TO PRECURSOR EMOTION BY USING EEG SIGNALS

Neural network classifier of Multilayer Perceptron (MLP) and fuzzy neural network classifier of Adaptive Network-based Fuzzy Inference System (ANFIS) are used to

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2021
Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing

Accordingly, three artificial intelligence (AI) techniques comprising adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and adaptive

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2020
Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks

In this study, we propose two rule-based fuzzy neural networks, adaptive neuro-fuzzy inference system (ANFIS) and coun- terpropagation fuzzy neural network for on-line predicting of

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Short Term Load Forecasting based on An Optimized Architecture of Hybrid Neural Network Model

We propose to improve the short-term load forecasting performance of two neural network models such as back propagation neural network, Adaptive Neuro-Fuzzy Inference System

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2022
Transformer’s Load Forecasting to Find the Transformer Usage Capacity with Adaptive Neuro-Fuzzy Inference System Method

Accuracy of electric load forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS) method is better than Artificial Neural Network (ANN) method, this is

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2020
Neural fuzzy Inference Based Robust Adaptive Beamforming

The proposed robust adaptive beamformers are based on explicit modeling of uncertainties in the desired signal array response and data covariance matrix as well

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Neuro fuzzy Modeling of an Eco friendly Melting Furnace Parameters using Bio fuels for the Agile Production of Quality Castings

Neuro-Fuzzy, Rotary Furnace, Bio-fuel, Artificial Neural Network (ANN), Adaptive Network - based Fuzzy Inference System (ANFIS), Agile Manufacturing Systems

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Calculation of Resonant Frequency for a Microstrip Antenna with Vertical Slots Using Applying Adaptive Network-Based Fuzzy Inference System

Keywords: microstrip antenna, vertical slots , adaptive network-based fuzzy Inference system , resonant frequency, artificial neural

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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models

The most common recent structures of the hybrid neuro-fuzzy systems are: The Adaptive-Network-based Fuzzy Inference System (ANFIS), and the Fuzzy Wavelet Neural

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Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference  Systems (ANFIS) Approaches

Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference.. Systems

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Computing air demand using the Takagi–Sugeno model for dam outlets

Performance statistics for the adaptive neural-based fuzzy inference system (ANFIS), feed-forward Levenberg-Marquardt artificial neural network (LMNN), multiple linear

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A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction

ACO: Ant Colony Optimization; ANFIS: Adaptive Network based Fuzzy Inference System; ANN: Artificial Neural Network; ARV: Average Relative Variance; BPNN: Back Propagation

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Comparison of ANFIS and ANN for Estimation of Thermal Conductivity Coefficients of Construction Materials

In this study, linear regression, Adaptive Neural based Fuzzy Inference System (ANFIS), and Articial Neural Networks (ANN) models were developed to estimate the thermal

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2020

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