fuzzy inference system
APPLICATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM IN INTEREST RATES EFFECTS ON STOCK RETURNS
... In the current study we examine the effects of interest rate changes on common stock returns of Greek banking sector. We examine the Generalized Autoregressive Heteroskedasticity (GARCH) process and an Adaptive ...
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Adaptive Neuro-Fuzzy Inference System Approach for the Automatic Screening of Diabetic Retinopathy in Fundus Images
... GUI was developed on Matlab to model laser machining process using Adaptive Network based Fuzzy Inference System ( Sivarao et al., 2009). Optimally adjusted morphological operators are used for ...
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Open Modelagem de um adaptive neuro fuzzy inference system para análise de risco em projetos.
... Neuro-fuzzy Inference System (ANFIS), which is capable of aggregating the mathematical treatment capacity of conceptual models with a hybrid learning ...
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An Application of Fuzzy Inference System Composed of Double-Input Rule Modules to Control Problems
... self-tuning fuzzy systems[1], [2] have been ...automatically fuzzy reasoning rules from input and output data based on the steepest descend ...using fuzzy inference system composed of ...
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Momentum Analysis based Stock Market Prediction using Adaptive Neuro-Fuzzy Inference System (ANFIS)
... and fuzzy Logic is expected to overcome the limitation due to the ability in mapping the nonlinear and multiple input-output data ...Neuro Fuzzy Inference System (ANFIS) introduced by ...the ...
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A FUZZY INFERENCE SYSTEM FOR ASSESSMENT OF THE SEVERITY OF THE PEPTIC ULCERS
... a fuzzy inference system (FIS) which emulates the process of human experts in detection and analysis of the peptic ...upon fuzzy inference system (FIS) for assessment of the ...
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Adaptive Neuro-Fuzzy Inference System Applied QSAR with Quantum Chemical Descriptors for Predicting Radical Scavenging Activities of Carotenoids.
... neuro- fuzzy inference system (ANFIS) is an artificial neural network (ANN) applied fuzzy inference ...by fuzzy if-then rules ...
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PHONETIC CLASSIFICATION BY ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM AND SUBTRACTIVE CLUSTERING
... This paper present a neural fuzzy system ANFIS for speech recognition. The appropriate learning algorithm is performed on TIMIT speech database supervised type, a pre-processing of the acoustic signal and ...
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FUZZY INFERENCE SYSTEM BASED POWER FACTOR CORRECTION OF THREE PHASE DIODE RECTIFIER USING FIELD PROGRAMABLE GATE ARRAY
... I-P, Fuzzy and Neuro-Fuzzy Controllers (Khuntia et ...that fuzzy logic based controllers give better responses than the traditional P-I as well as I-P controller for the speed control of dc motor ...
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An improved fuzzy inference system for voltage/VAR control
... Mamdani fuzzy controllers for Voltage/VAR control ends up by combining the results obtained from the cascade of C1 and C2 with the results from C3 by following a set of (crisp) ...
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USING AN INTEGRATED FUZZY INFERENCE SYSTEM AND ARTIFICIAL NEURAL NETWORK TO FORECAST DAILY DISCHARGE
... (7) With the classification results from the previous procedure, the forecast outflow discharge was found by fuzzy inference. The model was named Gauss. Fuzzy inference w[r] ...
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Neuro-fuzzy modeling in bankruptcy prediction
... A fuzzy inference system (also known as fuzzy rule-based system) is composed of five functional blocks, a rule-base that contains a number of fuzzy if-then rules, a database that ...
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Proposal and Implementation of MPLS Fuzzy Traffic Monitor
... computed fuzzy based LSPs for forwarding packets are obtained to avoid the situation of underutilization and over utilization of ...Mamdani Fuzzy Inference System [31] evaluates final ...
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Sistema genético difuso para a predição da frequência respiratória de pintinhos sujeitos a desafios térmicos
... a Fuzzy Inference System and a Genetic Fuzzy Rule Based ...The Fuzzy Inference System was structured based on two input variables: duration of thermal exposure (in days) ...
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Adaptive Neuro-Fuzzy Inference Systems for Modeling Greenhouse Climate
... a fuzzy inference system (FIS) whose membership function parameters are tuned (adjusted) using either a backpropagation algorithm alone, or in combination with a least squares type of ...allows ...
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Approximation Capabilities of Interpretable Fuzzy Inference Systems
... of fuzzy inference sys- tems have been ...automatically fuzzy inference systems with interpretability and accuracy from learning data based on metaheuristic ...multi-objective fuzzy ...
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Impact of Hybrid Intelligent Computing in Identifying Constructive Weather Parameters for Modeling Effective Rainfall Prediction
... Zadeh (1983) described that hybrid intelligent systems as suitable mechanism to handle uncertainty, noisy and incomplete dataset. Nikza and Latif (2014) proposed rainfall prediction model based on adaptive neuro ...
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A METEOROLOGICAL TOWER BASED WIND SPEED PREDICTION MODEL USING FUZZY LOGIC
... Hocaoglu, F.O., Y. Oysal and M. Kurban, 2009. Missing wind data forecasting with adaptive neuro-fuzzy inference system. Neural Comput. Appli., 18: 207-212. Hossain, A., A. Rahman, M. Rahman, S.K. ...
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J. Braz. Chem. Soc. vol.22 número8
... Food contaminations by migration of low molecular weight additives into foodstuffs can result from direct contact between packaging materials and food. The amount of migration is related to the structural properties of ...
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Combination of Neural Networks and Fuzzy Clustering Algorithm to Evalution Training Simulation-Based Training
... a fuzzy inference system based on the existing database defined using ...FCM, fuzzy set of rules for modeling the behavior of the database is ...of fuzzy inputs used here is the number ...
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