926 resultados para Illustration of books.


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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements. Neural networks with feedback connections provide a computing model capable of solving a rich class of optimization problems. In this paper, a modified Hopfield network is developed for solving constrained nonlinear optimization problems. The internal parameters of the network are obtained using the valid-subspace technique. Simulated examples are presented as an illustration of the proposed approach.

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The ability of neural networks to realize some complex nonlinear function makes them attractive for system identification. This paper describes a novel barrier method using artificial neural networks to solve robust parameter estimation problems for nonlinear model with unknown-but-bounded errors and uncertainties. This problem can be represented by a typical constrained optimization problem. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the network convergence to the equilibrium points. A solution for the robust estimation problem with unknown-but-bounded error corresponds to an equilibrium point of the network. Simulation results are presented as an illustration of the proposed approach.

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In this work, we analyzed the scientific bibliographic productivity of the Faculdade Ciências e Letras de Assis, Universidade Estadual Paulista (FCLAs-UNESP). We evaluated the scientific productivity of Professors using data retrieved from the Lattes Plataform database (Curriculum Lattes), ISI Web of Science and SCOPUS, books published, chapter of the books published and academic advisory (Master's Thesis and Ph.D. Thesis). Bibliometric evaluations of departments showed a better performance of the total number of papers (indexed in Curriculum Lattes database) by Literature Department (P < 0.05) when compared to Modern Languages Department. The Biological Sciences Department had means higher of the papers indexed by SCOPUS (P < 0.05) and ISI (P < 0.05) when compared to others departments. We also observed that the low h-indexes (P< 0,05) in the humanities areas is result of traditional mode of communication in this area of knowledge, which makes more use of books and proceedings of meetings when compared to natural sciences. These publications are not covered by ISI and SCOPUS. The graduate programs in History and Languages presented means higher of academic advisory (Master's Thesis and Ph.D. Thesis) because are graduate programs consolidated in the 1970's.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Educação - FCT

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Serviço Social - FCHS