Search Results - "Ebecken, N.F.F."

Parameter Identification of Recurrent Fuzzy Systems With Fuzzy Finite-State Automata Representation by Gama, C.A., Evsukoff, A.G., Weber, P., Ebecken, N.F.F.

“…This paper presents the identification of nonlinear dynamical systems by recurrent fuzzy system (RFS) models. Two types of RFS models are discussed: the…”
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Virioplankton Abundance in Trophic Gradients of an Upwelling Field by Pereira, G.C.(Universidade Federal do Rio de Janeiro Programa de Engenharia Civil), Granato, A.(Universidade Federal do Rio de Janeiro Departamento de Microbiologia), Figueiredo, A.R.(Universidade Federal do Rio de Janeiro Programa de Engenharia Civil), Ebecken, N.F.F.(Universidade Federal do Rio de Janeiro Programa de Engenharia Civil)

“…This work correlates time series of biological and physical variables to the marine viruses across trophic gradients within Arraial do Cabo upwelling system,…”
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Ecological networks simulation by fuzzy ecotoxicological rules by Pereira, G.C., Andrade, L.P., Espíndola, R.P., Ebecken, N.F.F.

“…•An early warning tool to help coastal zone managers.•Simple rules can build environmental scenarios for decision-making.•Simulating disturbances in ecological…”
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Fault-tree analysis: a knowledge-engineering approach by Geymayr, J.A.B., Ebecken, N.F.F.

“…This paper deals with the application of knowledge engineering and a methodology for the assessment and measurement of reliability, availability,…”
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Algoritmo genético e enxame de partículas para a otimização de suportes laterais de fornos by Simões, G.J., Ebecken, N.F.F.

“…A otimização de um componente mecânico é um importante aspecto do processo de engenharia; um sistema bem projetado irá permitir uma redução do custo durante a…”
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Combining in situ flow cytometry and artificial neural networks for aquatic systems monitoring by Pereira, G.C., Ebecken, N.F.F.

“…► Aquatic systems monitoring accounts model of whole biological information. ► Biological information modeled for environmental decision making. ►…”
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Fuzzy modelling of chlorophyll production in a Brazilian upwelling system by Pereira, Gilberto C., Evsukoff, Alexandre, Ebecken, Nelson F.F.

“…In the context of coastal management the aim of this paper is to present the development of a fuzzy model through the application of a Genetic algorithm in…”
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Visual RBF network design based on Star Coordinates by Machado Filho, Otto M., Ebecken, Nelson F.F.

“…The performance of neural networks is greatly affected by their design, yet the question of finding optimal designs remains open and inspires a considerable…”
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GOLS—Genetic orthogonal least squares algorithm for training RBF networks by Barreto, A.M.S., Barbosa, H.J.C., Ebecken, N.F.F.

“…This work presents the genetic orthogonal least squares approach, a hybrid algorithm blending orthogonal least squares method with a genetic algorithm at the…”
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Optimization of mass concrete construction using genetic algorithms by Fairbairn, Eduardo M.R., Silvoso, Marcos M., Toledo Filho, Romildo D., Alves, José L.D., Ebecken, Nelson F.F.

“…This paper presents a procedure to optimize the construction of mass concrete structures using genetic algorithms. The optimization criterion is construction…”
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Applying a clustering genetic algorithm for extracting rules from a supervised neural network by Hruschka, E.R., Ebecken, N.F.F.

“…The main challenge to the use of supervised neural networks in data mining applications is to get explicit knowledge from these models. For this purpose, a…”
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Virioplankton abundance in trophic gradients of an upwelling field by Pereira, G C, Granato, A, Figueiredo, A R, Ebecken, N F F

“…This work correlates time series of biological and physical variables to the marine viruses across trophic gradients within Arraial do Cabo upwelling system,…”
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Determination of probabilistic parameters of concrete: solving the inverse problem by using artificial neural networks by Fairbairn, E.M.R., Ebecken, N.F.F., Paz, C.N.M., Ulm, F.-J.

“…The probabilistic approach, based on the Monte Carlo method, has been recently introduced to simulate cracking of concrete in the framework of a finite element…”
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Probabilistic and possibilistic methods for the elastoplastic analysis of soils by de Lima, B.S.L.P, Teixeira, E.C, Ebecken, N.F.F

“…The finite element method is extensively used for solving various problems in engineering practice. The input requires properties, which are generally…”
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Growing compact RBF networks using a genetic algorithm by Barreto, Ada.M.S., Barbosa, H.J.C., Ebecken, N.F.F.

“…A novel approach for applying genetic algorithms to the configuration of radial basis function networks is presented. A new crossover operator that allows for…”
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A fault detection and diagnosis module for oil production plants in offshore platforms by Kaszkurewicz, E., Bhaya, A., Ebecken, N.F.F.

“…This paper describes an expert system for process supervision and diagnosis of an offshore oil product plant. The expert system contains main modules with…”
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Term Weighting Approaches for Text Categorization Improving by Matsunaga, L.A., Ebecken, N.F.F.

“…The objective of the text categorization problem examined in this paper corresponds to automatically distribute the legislative bills to the committees at the…”
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Rule extraction from neural networks: modified RX algorithm by Hruschka, E.R., Ebecken, N.F.F.

“…The main challenge in using supervised neural networks in data mining applications is to get explicit knowledge from these models. For this purpose, a study on…”
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Ontology Model for Multi-relational Data Mining Application by Bortoleto, S., Ebecken, N.F.F.

“…Usually data mining applications present diverse models to get the waited specific results. However the same don't include any ontology to represent and better…”
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Automatic recognition of coastal and oceanic environmental events with orbital radars by Bentz, C.M., Politano, A.T., Ebecken, N.F.F.

“…An automatic classification procedure was developed able to identify different oceanic events, detectable in orbital radar images. The procedure was customized…”
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