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Adaptive Neuro-Fuzzy Inference System

Predicting the risk of fault-induced water inrush using the adaptive neuro-fuzzy inference system

Predicting the risk of fault-induced water inrush using the adaptive neuro-fuzzy inference system

... Abstract: Sudden water inrush has been a deadly killer in underground engineering for decades. Currently, especially in developing countries, frequent water inrush accidents still kill a large number of miners every ...

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PRONOSTICO DEL CONSUMO ENERGETICO DE LARGO PLAZO EN LOS EE.UU. MEDIANTE ANFIS (ADAPTIVE NEURO FUZZY INFERENCE SYSTEM)

PRONOSTICO DEL CONSUMO ENERGETICO DE LARGO PLAZO EN LOS EE.UU. MEDIANTE ANFIS (ADAPTIVE NEURO FUZZY INFERENCE SYSTEM)

... Con respecto a los métodos o modelos anteriormente mencionados, los Algoritmos Genéticos (GA) son utilizados para optimización, en particular para este tipo de problemas de pronósticos s[r] ...

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ANFIS, SVM and ANN soft-computing techniques to estimate daily global solar radiation in a warm sub-humid environment

ANFIS, SVM and ANN soft-computing techniques to estimate daily global solar radiation in a warm sub-humid environment

... (i.e., adaptive neuro-fuzzy inference system (ANFIS), arti fi cial neural network (ANN) and support vector machine (SVM) were assessed for predicting daily horizontal global solar ...

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Pedestrian dead reckoning: a neuro-fuzzy approach with inertial measurements fusion based on Kalman filter and DWT

Pedestrian dead reckoning: a neuro-fuzzy approach with inertial measurements fusion based on Kalman filter and DWT

... In this chapter an introduction about the main theoretical topics related to the system developed in this work was present. Kalman filter provides an efficient computational means to estimate the state of a ...

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Application of Adaptive Neuro Fuzzy Logic Method of Noised Electrical Signals for Correction

Application of Adaptive Neuro Fuzzy Logic Method of Noised Electrical Signals for Correction

... by adaptive neural fuzzy inference system, Adaptive Neural Fuzzy Inference System or Adaptive Network-Based Fuzzy Logic Inference ...an ...

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Language learning and technology

Language learning and technology

... and adaptive learning software are often characterized as two of the most potentially game-changing technologies in higher ...with adaptive learning software, which responds to the needs of individual ...

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A Fuzzy Logic Inference Approach for the Estimation of the Passengers Flow Demand

A Fuzzy Logic Inference Approach for the Estimation of the Passengers Flow Demand

... To obtain a subzone model, a system is governed by the principle of maximum entropy would be applied. However, this model can be improved by incorporating information by an expert, even if this is inaccurate; this ...

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Development of a fuzzy control based self-adaptive system for energy saving in constrained networks for the Internet of Things

Development of a fuzzy control based self-adaptive system for energy saving in constrained networks for the Internet of Things

... Decision making is the core functionality of a controller, as we have seen in the previous section. Several models for decision making have been explored in past. For instance, Design Space Exploration (DSE) refers to ...

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Application of Adaptive PD Control to a Biomechanics System Known as Exoskeleton

Application of Adaptive PD Control to a Biomechanics System Known as Exoskeleton

... the system structure (that is in this paper is assumed to be unknown because the presence of external perturbations and internal uncertainties) and in the second case, the derivative approximation is usual poor, ...

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PROPUESTAS PARA MEJORAR EL PRONÓSTICO DE LA INFLACIÓN EN PAÍSES LATINOAMERICANOS MEDIANTE EL USO DE MODELOS HÍBRIDOS QUE MEZCLAN "FUZZY INFERENCE SYSTEM", MODELO AUTORREGRESIVO DE MEDIA MÓVIL Y DESCOMPOSICIÓN DE WAVELET

PROPUESTAS PARA MEJORAR EL PRONÓSTICO DE LA INFLACIÓN EN PAÍSES LATINOAMERICANOS MEDIANTE EL USO DE MODELOS HÍBRIDOS QUE MEZCLAN "FUZZY INFERENCE SYSTEM", MODELO AUTORREGRESIVO DE MEDIA MÓVIL Y DESCOMPOSICIÓN DE WAVELET

... modelo fuzzy inference system y el modelo económetrico Autoregresivo de medias móviles ...modelo Fuzzy Inference System- AutoRegressive Moving Average model, pero este utiliza ...

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ACOUSTICAL MEASUREMENTS BY ADAPTIVE SYSTEM MODELING

ACOUSTICAL MEASUREMENTS BY ADAPTIVE SYSTEM MODELING

... The cumulative spectral decay plot also shows frequency and time- domain properties of a system. It is computed from the system’s impulse response by windowing and Fourier transformation. Unlike the ETFC, the ...

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Modelling temporal patterns using soft computing techniques. Application to the analysis of human body movements

Modelling temporal patterns using soft computing techniques. Application to the analysis of human body movements

... were fuzzy, how- ever later work [SA94, Rey97] proposed to include the concept of fuzzy sets in the input and the state of the ...a fuzzy inference system where each IF-THEN rule was ...

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Variable structure control with chattering elimination and guaranteed stability for a generalized T-S model

Variable structure control with chattering elimination and guaranteed stability for a generalized T-S model

... Chen, Observer-based indirect adaptive fuzzy sliding mode control with state variable filters for unknown nonlinear dynamical systems, Fuzzy Sets and Systems 155 (2005) 292-308. Leung,[r] ...

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Neuro-fuzzy chip to handle complex tasks with analog performance

Neuro-fuzzy chip to handle complex tasks with analog performance

... Digital ASICS [10][11] are robust because they work with digital signals, thus they can handle more complex tasks. On the other hand, they need the outer shell of analog circuitry to build the interface with sensors and ...

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The role of labelled deductive systems in a formal system for defeasible argumentation

The role of labelled deductive systems in a formal system for defeasible argumentation

... Traditionally, a logical system (f,rv ) allows the inference of new wffs from those available in f using the rules of inference that characterize the notion of logical consequence r[r] ...

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An inference engine based on fuzzy logic for uncertain and imprecise expert reasoning

An inference engine based on fuzzy logic for uncertain and imprecise expert reasoning

... the system using the usual linguistic values of the universe of discourse to which the fact in question ...whose inference chains are no longer than three links, has been incorporated into an automatic ...

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Point spread function reconstruction at NICI adaptive optics system

Point spread function reconstruction at NICI adaptive optics system

... • Long exposure PSF estimation or PSF reconstruction for AO telemetry data is a more recent technique; first proposed and tested around 15 years ago. This method covers the case when speckle holography is not applicable ...

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Statistical Cellular Scatter Density Model (GSDM ) Employing Smart Antennas dor Macrocell Environments-Edición Única

Statistical Cellular Scatter Density Model (GSDM ) Employing Smart Antennas dor Macrocell Environments-Edición Única

... antenna system is a combination of two technologies adaptive antenna and switched beam technology; adaptive antenna is an array of antennas which is able to change its antenna pattern dynamically to ...

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Followee recommendation in twitter using fuzzy link prediction

Followee recommendation in twitter using fuzzy link prediction

... The followee recommendation task is not new and has been explored pre- viously; however, a number of the proposed methods have been developed over less complex (smaller, homogeneous, less noisy) contexts. Considering ...

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Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process

Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process

... A four-input (i.e., time, cutting forces, vibra- tions and acoustic emissions signals) single-output (tool wear rate) model is designed and implemented on the basis of three neuro-fuzz[r] ...

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