Generalized Networks
Mostrando 25-35 de 35 artigos, teses e dissertações.
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25. Controle de sistemas não lineares atraves de redes neurais
This thesis presents an approach for controlling a nonlinear system using an adaptive scheme implemented through neural networks. For a class of systems. necessary conditions for teaching the system input-output mapping to a multi-layer neural network trained by the generalized deIta rule are presented. A feedback linearization procedure, using feedforward n
Publicado em: 1991
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26. Flux-Concentration Duality in Dynamic Nonequilibrium Biological Networks
The structure of dynamic states in biological networks is of fundamental importance in understanding their function. Considering the elementary reaction structure of reconstructed metabolic networks, we show how appreciation of a gradient matrix, G = dv/dx (where v is the vector of fluxes and x is the vector of concentrations), enables the formulation of dua
The Biophysical Society.
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27. A dysfunctional desmin mutation in a patient with severe generalized myopathy
Mice lacking desmin produce muscle fibers with Z disks and normal sarcomeric organization. However, the muscles are mechanically fragile and degenerate upon repeated contractions. We report here a human patient with severe generalized myopathy and aberrant intrasarcoplasmic accumulation of desmin intermediate filaments. Muscle tissue from this patient lacks
The National Academy of Sciences.
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28. Analog "neuronal" networks in early vision.
Many problems in early vision can be formulated in terms of minimizing a cost function. Examples are shape from shading, edge detection, motion analysis, structure from motion, and surface interpolation. As shown by Poggio and Koch [Poggio, T. & Koch, C. (1985) Proc. R. Soc. London, Ser. B 226, 303-323], quadratic variational problems, an important subset of
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29. Mean-field theory of a neural network.
A single-cell theory for the development of selectivity and ocular dominance in visual cortex has been generalized to incorporate more realistic neural networks that approximate the actual anatomy of small regions of cortex. In particular, we have analyzed a network consisting of excitatory and inhibitory cells, both of which may receive information from the
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30. The Derivation of Ecological Relationships from Physical and Chemical Principles
Organic reaction networks are formalized by representing chemical species as points in a space and representing reactions by connectivity rules. Using the generalized network, the behavior of the system is investigated under conditions of electronically exciting input and output to a thermal reservoir. Under steady-state conditions the system undergoes mater
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31. Artificial neural networks in the modeling and optimization of aspirin extended release tablets with eudragit L 100 as matrix substance
The purpose of the present study was to model the effects of the concentration of Eudragit L 100 and compression pressure as the most important process and formulation variables on the in vitro release profile of aspirin from matrix tables formulated with Eudragit L 100 as matrix substance and to optimize the formulation by artificial neural network. As mode
Springer-Verlag.
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32. Three faces of integrative coordination: a model of interorganizational relations in community-based health and human services.
OBJECTIVE. This study develops a theoretically justified, network-based model of integrative coordination in community-based health and human services, and it uses this model to measure and compare coordination in six elder service systems. DATA SOURCES AND STUDY SETTING. We collected data between 1989 and 1991 in six Alabama counties, including two major MS
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33. Impact on Genetic Networks in Human Macrophages by a CCR5 Strain of Human Immunodeficiency Virus Type 1
Human immunodeficiency virus type 1 (HIV-1) impacts multiple lineages of hematopoietic cells, including lymphocytes and macrophages, either by direct infection or indirectly by perturbations of cell networks, leading to generalized immune deficiency. We designed a study to discover, in primary human macrophages, sentinel genetic targets that are impacted dur
American Society for Microbiology.
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34. Artificial neural network as an alternative to multiple regression analysis in optimizing formulation parmaeters of cytarabine liposomes
The objective of the study was to optimize the formulation parameters of cytarabine liposomes by using artificial neural networks (ANN) and multiple regression analysis using 33 factorial design (FD). As model formulations, 27 formulations were prepared. The formulation variables, drug (cytarabine)/lipid (phosphatidyl choline [PC] and cholesterol [Chol]) mol
Springer-Verlag.
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35. Differential role of inhibition in habituation of two independent afferent pathways to a common motor output
Many studies of the neural mechanisms of learning have focused on habituation, a simple form of learning in which a response decrements with repeated stimulation. In the siphon-elicited siphon withdrawal reflex (S-SWR) of the marine mollusk Aplysia, the prevailing view is that homosynaptic depression of primary sensory afferents underlies short-term habituat
Cold Spring Harbor Laboratory Press.