Fuzzy Inference System
Mostrando 1-12 de 51 artigos, teses e dissertações.
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1. Universal Approximators: New Approach for the Curve Fit of the COVID-19 Infected Population
ABSTRACT Fuzzy systems that include Takagi-Sugeno inference method with linear outputs, are widely known to have the ability to uniformly approximate any polynomial with high precision and, as a consequence, any continuous function, by applying the approximation theorem of Weierstrass. There is one more advantage for these methods which is to obtain an expli
Trends in Computational and Applied Mathematics. Publicado em: 2022
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2. FUZZY MODELING OF THE EFFECT OF IRRIGATION DEPTHS ON BEET CULTIVARS
ABSTRACT The objective of this study was to develop a Fuzzy Rule-Based System (FRBS) for the mathematically modeling of the irrigation level effect on beet cultivars ( Beta vulgaris L.). From an agronomic experiment carried out in a protected environment (greenhouse), it was defined as input variables, for each cultivar, the irrigation levels (depths of 25,
Engenharia Agrícola. Publicado em: 2022
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3. Modelo neuro-fuzzy para predição das emissões de CO2 de dosagens de concreto para biodigestores na suinocultura
Resumo Dada a importância da suinocultura para o Brasil, é necessário entender o impacto ambiental gerado pelos materiais de construção empregados na produção das instalações rurais, em especial na construção dos biodigestores, visto que essas instalações têm um importante papel na sustentabilidade dos sistemas de produção. Diante da relevân
Ambiente Construído. Publicado em: 2022
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4. FUZZY LOGIC MODELING OF THE OCULAR TEMPERATURE OF CATTLE IN THERMAL STRESS CONDITIONS
ABSTRACT This study proposes a fuzzy logic model capable of predicting the ocular temperature (OT) of beef cattle by means of infrared thermography. The goal of this study is to establish a methodology for making decisions related to animal welfare. The experiment was carried out at a commercial beef production farm, located in the south of Minas Gerais stat
Eng. Agríc.. Publicado em: 2021-08
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5. Modelo neuro-fuzzy para predição do aporte de energia de diferentes dosagens de concreto em edificações
Resumo Com o aumento do processo de urbanização e da população das cidades, surge a necessidade de entender o custo energético para produção dos materiais de construção. Entre os instrumentos utilizados, o aporte de energia é um importante instrumento no monitoramento do uso de fontes de energia não renováveis para produção de concretos convenc
Ambient. constr.. Publicado em: 2021-04
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6. Prediction of restrained shrinkage crack width of slag mortar composites using data mining techniques
ABSTRACT The purpose of this study is to develop data mining models to predict restrained shrinkage crack widths of slag mortar cementitious composites. A database published by BILIR et al. [1] was used to develop these models. As a modelling tool R environment was used to apply these data mining (DM) techniques. Several algorithms were tested and analyzed u
Matéria (Rio J.). Publicado em: 25/11/2019
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7. Fuzzy logic in automation for interpretation of adaptability and stability in plant breeding studies
ABSTRACT: The methods of Annicchiarico (1992) and Cruz et al. (1989) are widely used in phenotypic adaptability and stability analyses in plant breeding. In spite of the importance of these methodologies, their parameters are difficult to interpret. The aim of this research was to develop fuzzy controllers to automate the decision-making process employed by
Sci. agric. (Piracicaba, Braz.). Publicado em: 2019-04
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8. PRODUCTIVE RESPONSES FROM BROILER CHICKENS RAISED IN DIFFERENT COMMERCIAL PRODUCTION SYSTEMS - PART I: FUZZY MODELING
ABSTRACT Broiler chickens are classified as homoeothermic animals and require a production environment within well-defined thermal comfort intervals. Therefore, the development of algorithms (mathematical models) to control the environment that can be embedded in microcontrollers becomes necessary. Hence, this work aimed to develop a fuzzy model for predicti
Eng. Agríc.. Publicado em: 2019-02
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9. Investigation on Solar PV generation and design of switched reluctance motor for Smart Agriculture actuation system
ABSTRACT This paper presents standalone solar photovoltaic (PV) powered fed actuation system employing a switched reluctance motor (SRM) particularly used in remote and rural areas. The converter efficiency is achieved by changing ON and OFF state of solar PV drive. An electronic commutation drives SRM drive with achieved by position hall sensor and encoder.
Braz. arch. biol. technol.. Publicado em: 08/10/2018
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10. FUZZY MODELING ON WHEAT PRODUCTIVITY UNDER DIFFERENT DOSES OF SLUDGE AND SEWAGE EFFLUENT
ABSTRACT: This study aimed to evaluate the effects of fertilization with composted sewage sludge and irrigation with drinking water (DW) and fertigation with wastewater (WW) in wheat crop using fuzzy rule-based system. The experiment was conducted in the Department of Soil and Environmental Resources, of FCA, UNESP - Botucatu, with factorial 6 × 2, which we
Eng. Agríc.. Publicado em: 2017-12
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11. FUZZY INFERENCE SYSTEMS FOR MULTI-STEP AHEAD DAILY INFLOW FORECASTING
ABSTRACT This paper presents the evaluation of a daily inflow forecasting model using a tool that facilitates the analysis of mathematical models for hydroelectric plants. The model is based on a Fuzzy Inference System. An offline version of the Expectation Maximization algorithm is employed to adjust the model parameters. The tool integrates different inflo
Pesqui. Oper.. Publicado em: 2017-01
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12. Local linear model tree and Neuro-Fuzzy system for modelling and control of an experimental pH neutralization process
This paper describes the modelling and control of a pH neutralization process using a Local Linear Model Tree (LOLIMOT) and an adaptive neuro-fuzzy inference system (ANFIS). The Direct and Inverse model building using LOLIMOT and ANFIS structures is described and compared. The direct and inverse models of the pH system are identified based on experimental da
Braz. J. Chem. Eng.. Publicado em: 2014-06