Fuzzy inference system
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 con el modelo AutoRegressive Moving Average Model (FIS-ARMA), y como segunda metodología propuesta se presenta el mismo modelo FIS-ARMA con un pre procesamiento en los ...
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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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PROPUESTAS PARA LA PREDICCIÓN DEL SOBREENDEUDAMIENTO EN HOGARES DE CHILE MEDIANTE EL USO DE UN MODELO HÍBRIDO QUE MEZCLA "ARTIFICIAL NEURO FUZZY INFERENCE SYSTEM" Y MODELO PROBIT
... El aumento en los niveles de deuda de las familias de distintas partes del mundo ha atraído la atención de organizaciones locales y mundiales dedicadas a la prevención de riesgos financieros, y ha intensificado el ...
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Un estudio comparativo entre ANFIS, ANNs y SONFIS para series temporales volátiles
... Abstract. This paper presents a comparison among ANFIS, ANNs, and a Self Organized Neuro Fuzzy Inference System (SONFIS) for time se- ries prediction. The Turkish stock index (ISE) series is analyzed ...
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ANFIS, SVM and ANN soft-computing techniques to estimate daily global solar radiation in a warm sub-humid environment
... of fuzzy IF-THEN rules for each variable is essential to achieve good estimates during ...of fuzzy rules is related to input variables to MF's and is called premise or antecedent; the “ THEN ” part, which ...
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A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model
... many-disorder system, parsimony criterion is adopted on the characteristic of disorder occurrence: relevancy, a cover D I of M + is an explanation if it only contains the disorders that causally associate with at ...
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Robust Fuzzy Clustering via Trimming and Constraints
... Trimming has a long history as a simple way to provide robustness to statistical procedures. Its application in clustering needs to be done by taking into account the possibility of discarding “bridge points”. A sensible ...
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A review of artificial intelligent approaches applied to part accuracy prediction
... Finally, other interesting research works compare the effectiveness of ANN models for part accuracy prediction versus other modelling techniques. Tsai, Chen and Lou (1999) developed an in-process based surface ...
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A Multi-Agent System for the Solution of Fuzzy Incidents in Telecommunications
... multi-agent system, which allows the users the input of incidents with their severities and show them the solutions, which may or may not be confirmed by the ...
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Video Game Strategy Learning System using Reinforcement Learning and Inference Rules-Edición Única
... The Science says that everything have a scientific explanation. Nonetheless, if there are not known or are not observable all the factors that are involved, then there is not enough knowledge to learn accurate ...
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Evolutionary generation of fuzzy knowledge bases for diagnosing monitored railway systems
... monitored system based on intelligent diagnostics that has been used for the current study is related to one of the most critical components from the last generation, made by CAF [11] company: the self- propelled, ...
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Evolution of recurrent fuzzy controllers
... genetic fuzzy systems [2], the incorporation of previous knowledge (knowledge insertion) consists in the definition of fuzzy sets for the input variables and fuzzy ...for fuzzy systems is the ...
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Modelo Neuro Difuso para la Predicción de la Ocupación Espectral
... Neuro-Fuzzy Inference System) which is a combination between FL and ...an inference mechanism on the uncertainty and neural networks that offer major computational advantages such as learning, ...
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Solving Incidents in Telecommunications Using a Multiagent System
... El sistema multiagente planteado pretende registrar los eventos que alteren el normal funcionamiento de algún elemento dentro de las comunicaciones, cualquiera sea el grado de gravedad especificado por los usuarios, ...
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A Stress-Detection System Based on Physiological Signals and Fuzzy Logic
... stress-detection system based on two physiological parameters, namely, heart rate (HR) and galvanic skin response (GSR), together with fuzzy expert systems to elucidate to what extent an individual is under ...
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A Fuzzy Logic Inference Approach for the Estimation of the Passengers Flow Demand
... Abstract: This paper presents a new approach that designs the flow of passengers in mass transportation systems in presence of uncertainties. One of the techniques used for the prediction of passenger demand is the ...
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An inference engine based on fuzzy logic for uncertain and imprecise expert reasoning
... the system does not have the capability to handle partial pattern matching, it is possible that not all the implicit information will be made explicit for ...
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Tuning Up Fuzzy inference systems by using optimization algorithms for the classification of solar flares
... of fuzzy rules, a data base that defines the membership functions of the fuzzy sets used in fuzzy rules, the fuzzy inference engine, the fuzzifier and defuzzifier ...a fuzzy ...
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Followee recommendation in twitter using fuzzy link prediction
... the fuzzy system to be able to recover the target user’s followees as recommen- ...the fuzzy system by calculating the accuracy (percentage of matches) between the resulting recommendation ...
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