Projeto E análise de uma rede neural para resolver problemas de programação dinâmica

Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Neural networks with feedback connections provide a computing model capable of solving a large class of optimization problems. This paper presents a novel approach for solving dynamic programming problems using artificial neural networks. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points which represent solutions (not necessarily optimal) for the dynamic programming problem. Simulated examples are presented and compared with other neural networks. The results demonstrate that proposed method gives a significant improvement.

Afecções oculares em crianças de 2 a 8 anos da rede pública municipal de Piracicaba - SP

Study model: observacional, retrospective. Objective: to determine the frequence of the ametropic errors and other ocular problems in children with 2 to 8 year-old at Piracicaba - SP. Patients and Method: During the school year of 2000, 1001 children enrolled at the public schools of Piracicaba - SP, age ranged from 2 to 8 years old, were referred to complete ophthalmological exam. Visual acuity was previously determined using Snellen chart, applied by school teachers. Those children presenting visual acuity equal or less than 0.8, visual complaints or visual disorders were selected to appointment. Results: 51 children (5.09%) did not attended to examination. 950 children were submitted to complete ophthalmological exam. Ametropic errors were found 70.84% of the children. The most prevalent refractive errors were Hypermetropic Astigmatism (49.62%) and Hypermetropia (32,98%). Anisometropia was found in 1.78% children. Other ocular disabilities accounted for 10.21% of the examined children, such as strabismus (3.36%), eyelid changes, allergic conjunctivitis, congenital dacryostenosis, optic atrophy, corioretinitis and congenital glaucoma. Conclusion: The frequence of ocular problems observed let us to conclude the screening programs are valid surveys on decreasing rates of preventable blindness in our country.

Avaliação estatística de métodos de poda aplicados em neurônios intermediários da rede neural MLP

There are several papers on pruning methods in the artificial neural networks area. However, with rare exceptions, none of them presents an appropriate statistical evaluation of such methods. In this article, we proved statistically the ability of some methods to reduce the number of neurons of the hidden layer of a multilayer perceptron neural network (MLP), and to maintain the same landing of classification error of the initial net. They are evaluated seven pruning methods. The experimental investigation was accomplished on five groups of generated data and in two groups of real data. Three variables were accompanied in the study: apparent classification error rate in the test group (REA); number of hidden neurons, obtained after the application of the pruning method; and number of training/retraining epochs, to evaluate the computational effort. The non-parametric Friedman's test was used to do the statistical analysis.

Análise da incerteza na representação de classes de cobertura do solo urbano resultantes da aplicação de uma rede neural artificial

The great diversity of materials that characterizes the urban environment determines a structure of mixed classes in a classification of multiespectral images. In that sense, it is important to define an appropriate classification system using a non parametric classifier, that allows incorporating non spectral (such as texture) data to the process. They also allow analyzing the uncertainty associated to each class from the output alues of the network calculated in relation to each class. Considering these properties, an experiment was carried out. This experiment consisted in the application of an Artificial Neural Network aiming at the classification of the urban land cover of Presidente Prudente and the analysis of the uncertainty in the representation of the mapped thematic classes. The results showed that it is possible to discriminate the variations in the urban land cover through the application of an Artificial Neural Network. It was also possible to visualize the spatial variation of the uncertainty in the attribution of classes of urban land cover from the generated representations. The class characterized by a defined pattern as intermediary related to the impermeability of the urban soil presented larger ambiguity degree and, therefore, larger mixture.

Fontes de distorções da rede geodésica Brasileira

The Brazilian Geodetic Network started to be established in the early 40's, employing classical surveying methods, such as triangulation and trilateration. With the introduction of satellite positioning systems, such as TRANSIT and GPS, that network was densified. That data was adjusted by employing a variety of methods, yielding distortions in the network that need to be understood. In this work, we analyze and interpret study cases in an attempt to understand the distortions in the Brazilian network. For each case, we performed the network adjustment employing the GHOST software suite. The results show that the distortion is least sensitive to the removal of invar baselines in the classical network. The network would be more affected by the inexistence of Laplace stations and Doppler control points, with differences up to 4.5 m.

Análise da prescrição de medicamentos de pacientes hipertensos atendidos pelo SUS da rede municipal de saúde de Rincão - SP

The purpose of this study was to identify the drugs most often prescribed for hypertension at the Municipal Health Care Center of the town of Rincäo, State of São Paulo, Brazil, and the principal interactions arising from their association with other drugs, both anti-hypertensives and those in other classes. The study included 725 hypertensive patients registered at this health care center who were regularly seen by a physician every three months. Data were collected on age, sex, occurrence of diabetes, smoking, sedentary lifestyle and overweight, to obtain a profile of the hypertensive population of the area. Control records of all patients were available at the pharmacy in the health care center, where patients obtained their drugs once a month. Of the 725 patients, 38% were male and 62% female. Most (57%) were between 50 and 70 years of age, 21% used tobacco and 43% led a sedentary lifestyle. Single-drug therapy accounted for 33% of the prescriptions, multidrug therapy for 66%. In addition to anti-hypertensives, 50% of the patients took drugs of other therapeutic classes. Of those receiving multidrug therapy, 34% used three or more anti-hypertensives and 66% used only two of these drugs. Drug interactions were detected in as many as 47% of the prescriptions. Captopril was the drug that showed most interactions with others (54%), followed by hydrochlorothiazide (27%), furosemide (14%), propanolol (4%), and nifedipine (1%). The analysis revealed that drug consumption by the patients investigated is high, with a concomitantly high number of episodes of drug interaction.

Género y programas de combate a la pobreza en México: ¿reconocimiento del capital social?

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La experiencia chilena en el combate a la evasión

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O sistema municipal e o combate à pobreza no Brasil

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Honduras: el papel de los municipios en el combate a la pobreza

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Guatemala: fortalecimiento de las finanzas municipales para el combate a la pobreza

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Nicaragua: el papel de los municipios como instrumento para el combate de la pobreza

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Financiamiento municipal y combate a la pobreza: ejes de análisis

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Os programas de combate a pobreza no Brasil e a perspectiva de gênero no periodo 2000-2003: avanços e posibilidades

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Programas de transferencias condicionadas, políticas sociales y combate a la pobreza en Panamá

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