[PDF] Top 20 Adaptive Neuro-Fuzzy Inference Systems for Modeling Greenhouse Climate
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Adaptive Neuro-Fuzzy Inference Systems for Modeling Greenhouse Climate
... a fuzzy identifier has some essential advantages which are described in the ...apply fuzzy logic system for greenhouse climate modeling and then provide prediction for choosing optimal ... See full document
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J. Braz. Chem. Soc. vol.22 número8
... the adaptive neuro-fuzzy inference system (ANFIS) for prediction of the partition coeficient K in food/ packaging ...44 systems consisted of 4 food simulants, 6 migrants and 2 packaging ... See full document
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Neuro-fuzzy modeling in bankruptcy prediction
... and fuzzy logic, usually referred in literature as neuro-fuzzy ...the Adaptive Network-based Fuzzy Inference System (ANFIS), which is a technique proposed by Roger Jang ...for ... See full document
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Momentum Analysis based Stock Market Prediction using Adaptive Neuro-Fuzzy Inference System (ANFIS)
... Real systems like economic systems are complex and their behavior is often nonlinear and non ...the modeling of such systems ...to modeling and prediction of complex ...nonlinear ... See full document
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Adaptive Neuro-Fuzzy Inference System Approach for the Automatic Screening of Diabetic Retinopathy in Fundus Images
... the fuzzy modeling procedure to learn information about a dataset, in order to compute the membership function parameters that best allow the associated fuzzy inference system to track the ... See full document
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The Adaptive Control of Nonlinear Systems Using the T-S-K Fuzzy Logic
... the adaptive and robust approaches in the proposed tracking controller ...A fuzzy logic-based function approximator is used for the purpose of learning system ...other fuzzy logic systems that ... See full document
12
Fuzzy Inference Systems Composed of Double-Input Rule Modules for Obstacle Avoidance Problems
... methods, fuzzy inference systems deal with a small number of input ...using fuzzy inference system composed of SIRMs [10], ...conventional fuzzy inference model and its ... See full document
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... of inference systems 1, 2 and 3, presented in Table ...by inference process. Figure 9 illustrates FIS 1 inference process to supplier S 1 ...represents fuzzy sets activated by supplier ... See full document
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MODELAGEM NEURO-FUZZY: UMA ALTERNATIVA PROMISSORA PARA ANÁLISE DE RISCOS NO MANEJO DA ARBORIZAÇÃO URBANA
... During the learning process, there was only one omission error in the checking subset, where a case of risk class 3 was mistakenly assigned to class 4, resulting in a commission error in the latter. During the test, ... See full document
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PHONETIC CLASSIFICATION BY ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM AND SUBTRACTIVE CLUSTERING
... The subsequent to the development of ANFIS approach, a number of methods have been proposed for learning rules and for obtaining an optimal set of rules. For example, Mascioli et al [23] have proposed to merge Min-Max ... See full document
10
Desenvolvimento de aplicações em medicina e agronomia utilizando lógica fuzzy e neuro fuzzy
... using fuzzy logic and another in the area of agriculture to estimate the wheat productivity using an adaptive neuro fuzzy inference ...the fuzzy logic library, denominated ... See full document
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MODELAGEM E PROGNOSE DO PREÇO DE CARVÃO USANDO UM SISTEMA NEURO-FUZZY.
... It is possible to observe a raised agreement grade between the observed values and the estimated values from the inference fuzzy system (Figure 2a). When there is overlap between two series, it is possible ... See full document
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Fuzzy Time Control Modeling Of Discrete Event Systems
... Abstract—Linguistic modeling of complex irregular systems is helpful for the generation of decision making ...existing Fuzzy models, proposed by Mamdani, Sugeno, and Tsukamoto, the concepts of the ... See full document
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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] ... See full document
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Arq. NeuroPsiquiatr. vol.66 número2A
... The features which attack NEEs are: (1) conversion classical symptoms, including pharyngeal spasms, digestive disturbances, contractions, body ache and paralysis; (2) sensibility disturbanc- es (anesthesia) and sensory ... See full document
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Modelagem fuzzy usando agrupamento condicional
... Sistemas Fuzzy Baseado em Regras (SFBR) é o fato de que eles são facilmente compreensíveis pelos seres ...sistemas fuzzy são automaticamente construídos a partir de um conjunto de dados, se não houver a ... See full document
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PERFORMANCE OF FUZZY INFERENCE SYSTEMS TO PREDICT THE SURFACE TEMPERATURE OF BROILER CHICKENS Marcelo Bahuti
... The study was conducted using four climate- controlled wind tunnels. Each wind tunnel contained a cage (0.24 m²) with three divisions, which corresponded to the repetitions in each cage. Twenty-five broiler ... See full document
11
Braz. J. Chem. Eng. vol.31 número2
... A fuzzy inference system (FIS) can use human knowledge by storing its crucial components in a rule base, and perform fuzzy reasoning to infer the overall output ...an adaptive ... See full document
13
FUZZY MODELING IN THE PREDICTION OF CLIMATE INDICES AND PRODUCTIVE PERFORMANCE OF QUAILS KEPT IN CLIMATE CHAMBER
... using fuzzy logic for predicting climate indices and productive performance of European quails kept in a climatic ...of climate indexes where the input variables were the temperature (°C) and ... See full document
9
Instrumentação e controle de uma estação de tratamento de água
... lógica fuzzy e redes neurais artificiais aplicadas ao processo de coagulação, já vem sendo utilizadas em alguns países tais como França e Reino Unido, a partir da segunda metade da década de 90, devido justamente ... See full document
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