adaptive network based inference system
Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS) Approaches
... systems based on ANN and Neuro-Fuzzy approaches in order to develop an automatic heart disease diagnosis ...ANN system using the training data set, where the accuracy for each system was 100% and ...
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Constructing a Predicting Model for JCI Return Using Adaptive Network-based Fuzzy Inference System
... fuzzy inference system (ANFIS) is one of the non-linear models combining the superiority of each fuzzy logic and artificial neural networks (Jang, ...control system. Hence it can improve if-then ...
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An Adaptive Network-based Fuzzy Inference System for Rock Share Estimation in Forest Road Construction
... computing system that has the ability to analyze these kinds of data should be more flexible and adaptive than the tradi- tional ...(RWC) system should be capable of distributed representation of ...
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INTELLIGENT SELF TUNING PID CONTROLLER USING HYBRID IMPROVED PARTICLE SWARM OPTIMIZATION FOR ULTRASONIC MOTOR
... represented based on system identification models under vortex induced vibration (VIV) has been verified in this ...Two System identification methods used to create models which are: Neural ...
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Premise Parameter Optimization on Adaptive Network Based Fuzzy Inference System Using Modification Hybrid Particle Swarm Optimization and Genetic Algorithm
... Neural Network (ANN) is a commonly used learning-based classification ...Neural Network and Fuzzy Inference ...five network layers and one ...
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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... – based systems, are based on an architecture which integrates the neural networks and the fuzzy logic based system in the form of parallel ...logic system work ...fuzzy system ...
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Modelling the formation of Ozone in the air by using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case study: city of Yazd, Iran)
... A study was conducted in 2013 on modelling and predicting the formation of ozone in the air of Mashhad city using a neural fuzzy network based on inference fuzzy-adaptive systems. It was ...
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Prediction of soil cation exchange capacity using support vector regression optimized by genetic algorithm and adaptive network-based fuzzy inference system
... the adaptive network-based fuzzy inference system (ANFIS) to predict soil CEC based on 104 soil samples collected from soil surface under four different land ...
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Knowledge Discovery and Diseases Prediction: A Comparative Study of Machine Learning Techniques
... Neural Network (NN), Adaptive Network-Based Fuzzy Inference System (ANFIS), Support Vector Regression (SVR) and Classification and Regression Trees (CART) are used for diseases ...
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Study of connectivity properties and network topology for neuroimaging classification by using adaptive Nero fuzzy inference system
... kernel based approach is employed. Two types of Kernels i.e., vector based kernel and graph based kernel are used to study the local and global topology properties of a ...Then Adaptive Neuro ...
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Computation of Magnetic Field Distribution by Using an Adaptive Neuro-Fuzzy Inference System
... In this paper, magnetic field modelling of power transmission lines is briefed in Section II. Section III is to illustrate the utilization of the FEM for the magnetic field modelling described in Section II. Section IV ...
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Efficient Hybrid Control of Shell and Tube Heat Exchanger Using Interval Type-2 and Adaptive Neuro Fuzzy Based Fuzzy Inference System
... neural network and an interval type2 fuzzy inference system (IT2FIS) and represents Takagi-Sugeno fuzzy model as generalized feed forward neural network, and trains it with Shell and Tube Heat ...
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Computing air demand using the Takagi–Sugeno model for dam outlets
... An adaptive neuro-fuzzy inference system (ANFIS) was developed using the subtractive clustering technique to study the air demand in low-level outlet ...relationships based on the experimental ...
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Intelligent Optimal Control of a Heat Exchanger Using ANFIS and Interval Type-2 Based Fuzzy Inference System
... neural network and an interval type2 fuzzy inference system (IT2FIS) and represents Takagi-Sugeno fuzzy model as generalized feed forward neural network, and trains it with Heat Exchanger I/O ...
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Discrete Wavelet Transform with Adaptive Network Based Fuzzy Inference System for Compression of Images
... Sodeif Ahadpour et al [8], suggested an approach that is based on coupled map lattices known as chaos-based image encryption approach on studying the coupled map lattices and chaotic trigonometric maps. In ...
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Fuzzy inference systems implemented on neural architectures for motor fault detection and diagnosis
... (NN/FZ) inference systems, namely, Fuzzy Adaptive Learning Control/Decision Network (FALCON) and Adaptive Network Based Fuzzy Inference System (ANFIS), with ...
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COVID-19 Pandemic Prediction for Hungary; a Hybrid Machine Learning Approach
... of adaptive network-based fuzzy inference system (ANFIS) and multi-layered perceptron-imperialist competitive algorithm (MLP-ICA) are used to predict time series of infected individuals ...
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Adaptive neural network fuzzy inference system for HFC processes
... control system for HFC process robots (thermal treatments by high-frequency hardening) is based on the magnetic induction phenomenon and the film effect, according to which the piece to be hardened is ...
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Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis
... the adaptive prognostic requirement, where it characterizes a fully open structure and operates in a single-pass learning ...the system in a sample-wise ...
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Forecasting of Intellectual Capital by Measuring Innovation Using Adaptive Neuro-Fuzzy Inference System
... forecasting system based on ANFIS, which differs from the traditional Artificial Neural Networks (ANN) in that it is not fully connected and not all the weights or nodal parameters are ...Fuzzy ...
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