Neuro Fuzzy Systems
Mostrando 1-12 de 34 artigos, teses e dissertações.
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1. Neuro-fuzzy Hybrid System for Monitoring Wood Moisture Content During Drying
ABSTRACT The heterogeneous behavior of wood during drying is a process difficult to control. The objective of this study was to evaluate the accuracy of the neuro-fuzzy hybrid system for monitoring wood moisture during drying. Eucalyptus urophylla x Eucalyptus grandis samples (2 x 2 x 4 cm) were saturated and dried in climatic chamber for 15 days. Basic den
Floresta Ambient.. Publicado em: 04/04/2019
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2. Determination of the Main Influencing Factors on Road Fatalities Using an Integrated Neuro-Fuzzy Algorithm
Abstract This paper proposed an integrated algorithm of neuro-fuzzy techniques to examine the complex impact of socio-technical influencing factors on road fatalities. The proposed algorithm could handle complexity, non-linearity and fuzziness in the modeling environment due to its mechanism. The Neuro-fuzzy algorithm for determination of the potential influ
Lat. Am. j. solids struct.. Publicado em: 2017-01
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3. Sistema computacional para auxílio ao diagnóstico em exames de tuberculose animal
The results obtained in evaluating the efficiency of a Neuro-Fuzzy System NEFCLASS (Neuro-Fuzzy Classification) in image classification of cattle tuberculosis, based on its texture features extracted using the wavelet transform are presented. For testing, images of animal tissues diagnosed with tuberculosis were used, as provided by the Tuberculosis Laborato
Arq. Bras. Med. Vet. Zootec.. Publicado em: 2013-04
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4. Controle preditivo baseado em modelo neuro-fuzzy de sistemas não-lineares aplicado em sistema de refrigeração = : Model predictive control based on neuro-fuzzy nonlinear systems applied to a refrigeration plant / Model predictive control based on neuro-fuzzy nonlinear systems applied to a refrigeration plant
Refrigeration systems can be found in many different branches of industry and are characterized as great energy consumers with considerable non-linear behavior. Several studies have been developed to promote the reduction of energy costs and to minimize the effects of nonlinearities in these systems. The use of automation and process control, particularly th
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 03/07/2012
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5. Sistemas de detecção de intrusão com técnicas de inteligência artificial / Intrusion detection systems with artificial inteligence technics
Due the increase of the amount of important information on computer networks, security has became primordial to ensure the integrity, confidentiality and availability of data traffic. To improve security, there are useful tools such as Firewalls and Intrusion Detection Systems (IDS). Currently, methods of Artificial Intelligence (AI) are used to improve thes
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/02/2011
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6. Predicting partition coefficients of migrants in food simulant/polymer systems using adaptive neuro-fuzzy inference system
A contaminação de alimentos pela migração de aditivos de baixo peso molecular em alimentos processados industrialmente pode ser resultado do contato direto entre a embalagem e o alimento. A concentração do aditivo que migra do material da embalagem para o alimento está relacionada com as propriedades estruturais do aditivo, bem como com a natureza do
Journal of the Brazilian Chemical Society. Publicado em: 2011-08
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7. Application of neuro-fuzzy systems for the solution of radiative transfer inverse problems / Aplicação de redes neuro-fuzzy para a solução de problemas inversos em transferência radiativa
In this thesis is proposed an implementation for solving the inverse problem with the estimates of radiative properties (the single scattering albedo, the optical thickness of the media and the diffuse reflectivities) by the values of the intensities of radiation that leaves the participant medium using a hybrid approach of neuro-fuzzy systems, which combine
Publicado em: 2010
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8. Identificação fuzzy-multimodelos para sistemas não lineares
Este trabalho apresenta uma nova técnica de identificação multimodelos baseada em ANFIS para sistemas não lineares. Nesta técnica, a estrutura utilizada é do tipo fuzzy Takagi-Sugeno cujos consequentes são modelos lineares locais que representam o sistema em diferentes pontos de operação e os antecedentes são funções de pertinência cujos ajustes
Publicado em: 2010
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9. AplicaÃÃo de Sistemas Fuzzy e Neuro-fuzzy para PrediÃÃo da Temperatura Retal de Frangos de Corte / Application of fuzzy and neuro-fuzzy systems for rectal temperature prediction of broiler chickens.
The aims of this research was to develop and validate a decision support system using fuzzy system, on the ground of fuzzy sets theory, and a neuro-fuzzy system (neuro-fuzzy network), based on the algorithm LOLIMOT (Local Linear Model Tree ) for rectal temperature prediction of broiler chickens. The systems were developed based on the ground of three input v
Publicado em: 2009
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10. Fuzzy inference systems approach for long term hydrothermal scheduling / Sistema de inferencia nebulosa ao planejamento da operação hidrotermica de medio prazo
The long term hydrothermal scheduling lies in the optimization of the water resource usage through the maximization of the hydroelectric production and the minimization of the thermal plants operation. Its goal is to assure an economic and reliable load supply throughout the study stages. This problem can be characterized by exhibiting a complex nature, sinc
Publicado em: 2009
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11. MODELOS NEURO-FUZZY HIERÁRQUICOS BSP DO TIPO 2 / TYPE-2 HIERARCHICAL NEURO-FUZZY BSP MODEL
The objective of this thesis is to create a new type-2 fuzzy inference system for the treatment of uncertainties with automatic learning and that provides an interval of confidence for its defuzzified output through the calculation of corresponding type-reduced sets. In order to attain this objective, this new model combines the paradigms of the modelling of
Publicado em: 2007
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12. Arquitetura híbrida inteligente para navegação autônoma de robôs / Intelligent hybrid architecture for robot autonomous navigation
This project consists in a autonomous navigation system based on modular neuro-fuzzy networks that is able to guide the robot in unknown environments from a initial point to the goal. Initially, the system is not able to navigate, but after a trial and error period and some collisions, it improves in guiding the robot to the goal efficiently. A intelligent h
Publicado em: 2007