9,930 research outputs found

    Generalized Stochastic Gradient Learning

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    We study the properties of generalized stochastic gradient (GSG) learning in forwardlooking models. We examine how the conditions for stability of standard stochastic gradient (SG) learning both di1er from and are related to E-stability, which governs stability under least squares learning. SG algorithms are sensitive to units of measurement and we show that there is a transformation of variables for which E-stability governs SG stability. GSG algorithms with constant gain have a deeper justification in terms of parameter drift, robustness and risk sensitivity

    Generalized Stochastic Gradient Learning

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    We study the properties of generalized stochastic gradient (GSG) learning in forward-looking models. We examine how the conditions for stability of standard stochastic gradient (SG) learning both differ from and are related to E-stability, which governs stability under least squares learning. SG algorithms are sensitive to units of measurement and we show that there is a transformation of variables for which E-stability governs SG stability. GSG algorithms with constant gain have a deeper justification in terms of parameter drift, robustness and risk sensitivity.

    Generalized Stochastic Gradient Learning

    Get PDF
    We study the properties of generalized stochastic gradient (GSG) learning in forward-looking models. We examine how the conditions for stability of standard stochastic gradient (SG) learning both differ from and are related to E-stability, which governs stability under least squares learning. SG algorithms are sensitive to units of measurement and we show that there is a transformation of variables for which E-stability governs SG stability. GSG algorithms with constant gain have a deeper justification in terms of parameter drift, robustness and risk sensitivity.adaptive learning, E-stability, recursive least squares, robust estimation

    The study of the drying of Buna S.

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    A study of the drying of Buna-S in crumb form (designated as GR-S) is presented in which investigations of vacuum and air drying are made. The drying characteristics are presented and the effect of drying on the quality is evaluated. Vacuum drying is investigated using a shelf and a rotary type unit. The individual effects of temperature, vacuum, thickness of crumb layer, and size of crumb particles are studied. Data are correlated by means of drying rate curves. Comparisons of the effects of the variables are made using these curves. Air drying is studied by the use of a shelf unit with air blowing across the crumb. Air drying also is investigated with air directed through the bed of crumb. The variables studied are: temperature, humidity, air velocity, thickness of crumb layer, size of crumb, and shrinkage of the crumb during drying. The results are presented as drying rate curves and comparisons are made showing the effect of variables. A study of the temperature of the rubber during drying is presented showing the trend as the moisture content changes. The quality of the dried rubber is determined by means of an evaluation of the gel content. The gel content is defined as the per cent of the rubber insoluble in benzene. The results of several studies of the effect of temperature on the formation of gel are presented

    Diverter AI based decision aid, phases 1 and 2

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    It was determined that a system to incorporate artificial intelligence (AI) into airborne flight management computers is feasible. The AI functions that would be most useful to the pilot are to perform situational assessment, evaluate outside influences on the contemplated rerouting, perform flight planning/replanning, and perform maneuver planning. A study of the software architecture and software tools capable of demonstrating Diverter was also made. A skeletal planner known as the Knowledge Acquisition Development Tool (KADET), which is a combination script-based and rule-based system, was used to implement the system. A prototype system was developed which demonstrates advanced in-flight planning/replanning capabilities

    Derated ion thruster development status

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    A 30 cm diameter xenon ion thruster is under development at NASA to provide an ion propulsion option for auxiliary and primary propulsion on missions of national interest. Specific efforts include thruster design optimizations, component life testing and validation, vibration testing, and performance characterizations. Under this program, the ion thruster will be brought to engineering model development status. The activities and preliminary test results to develop a 30 cm engineering model thruster are discussed

    Why Don\u27t You Get a Lady of Your Own / music by George Walker and Bert Williams; words by Bert Williams and George Walker

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    Cover: caricature of an African American couple embracing, as an African American male stands by staring at them; photo insets of the African American composer/singers in blackface; description reads the swell coon laughing success; Publisher: Jos. W. Stern and Co. (New York)https://egrove.olemiss.edu/sharris_a/1042/thumbnail.jp
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