Model Identifiability
Mostrando 1-8 de 8 artigos, teses e dissertações.
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1. Nova metodologia para análise de identificabilidade e estimação de parâmetros de modelos fenomenológicos
Model identification is the activity of constructing representative mathematical models of real systems. Several techniques are available for its completion, which depend on the level of information available about the studied system. In this work techniques for gray-box identification, which use both phenomenological models and experimental data, were studi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2012
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2. Identification and the information matrix : how to get just sufficiently rich?
In prediction error identification, the information matrix plays a central role. Specifically, when the system is in the model set, the covariance matrix of the parameter estimates converges asymptotically, up to a scaling factor, to the inverse of the information matrix. The existence of a finite covariance matrix thus depends on the positive definiteness o
Publicado em: 2011
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3. Modelagem e identificação de parâmetros hidrodinâmicos de um veículo robótico submarino. / Modelling and Identification of hydrodynamic parameters of an underwater robotic vehicle.
In this work, a procedure for experimental identification of hydrodynamic coefficients of unmanned underwater vehicles is presented. At first, the development of a testbed for research on dynamics, control, and navigation of underwater vehicles is presented. This experimental platform includes: 1) a open-frame semi-autonomous unmanned underwater vehicle name
Publicado em: 2008
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4. Modelo com erros de classificação para a proporção de não- disjunção cromossômica na meiose I
The main causes of numerical chromosomal anomalies, including trisomies, arise from an error in the chromosomal segregation during the meiotic process, named a non-disjuntion. One of the most used techniques to analyse chromosomal anomalies is the Polymerase Chain Reaction (PCR) followed by a quantitative analysis via laser densitometry, which counts the num
Publicado em: 2007
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5. O MODELO DE REDES NEURAIS GLOBAIS-LOCAIS / THE LINEAR LOCAL-GLOBAL NEURAL NETWORK MODEL
Nesta tese apresenta-se o Modelo de Redes Neurais Globais- Locais (RNGL) dentro do contexto de modelos de séries temporais. Esta formulação abrange alguns modelos não- lineares já existentes e admite também o enfoque de Mistura de Especialistas. Dedica-se especial atenção ao caso de especialistas lineares, e são discutidos extensivamente aspectos te
Publicado em: 2003
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6. A Benchmark for Methods in Reverse Engineering and Model Discrimination: Problem Formulation and Solutions
A benchmark problem is described for the reconstruction and analysis of biochemical networks given sampled experimental data. The growth of the organisms is described in a bioreactor in which one substrate is fed into the reactor with a given feed rate and feed concentration. Measurements for some intracellular components are provided representing a small bi
Cold Spring Harbor Laboratory Press.
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7. On the Consistency of a Physical Mapping Method to Reconstruct a Chromosome in Vitro
During recent years considerable effort has been invested in creating physical maps for a variety of organisms as part of the Human Genome Project and in creating various methods for physical mapping. The statistical consistency of a physical mapping method to reconstruct a chromosome, however, has not been investigated. In this paper, we first establish tha
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8. Network component analysis: Reconstruction of regulatory signals in biological systems
High-dimensional data sets generated by high-throughput technologies, such as DNA microarray, are often the outputs of complex networked systems driven by hidden regulatory signals. Traditional statistical methods for computing low-dimensional or hidden representations of these data sets, such as principal component analysis and independent component analysi
National Academy of Sciences.