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Showing 1 to 20 of 155 for “"Linear function"”.

  1. Parallel Techniques (Application to Coding of Linear Function of Memory Variables)

    Made available in DSpace on 2014-12-10T20:13:40Z (GMT). No. of bitstreams: 1 7317451.pdf: 1777134 bytes, checksum: f4cd1fa1416e2c2c1426d9dcef72a08a (MD5) Previous issue date: 1972

    uiuc Repository record for Parallel Techniques (Application to Coding of Linear Function of Memory Variables) (opens in a new tab)

  2. Applications of fuzzy counterpropagation neural networks to non-linear function approximation and background noise elimination

    … fuzzy set approach and which can perform a non-linear function approximation. The model is used as the basic structure of an adaptive filter. The learning capability of ANN is expected to be able to reduce the development time and cost of the designing adaptive filters based on fuzzy set …

    edithcowan Repository record for Applications of fuzzy counterpropagation neural networks to non-linear function approximation and background noise elimination (opens in a new tab)

  3. A Hydrothermal After-ripening Time Model of Seed Dormancy Loss in Bromus tectorum

    … the mean base water potential is assumed to be a linear function of temperature above a specific base temperature and as a result can be described by a thermal after-ripening (TAR) time model, an extension of hydrothermal modelling. The thermal requirement for after-ripening is the thermal time …

    byu Repository record for A Hydrothermal After-ripening Time Model of Seed Dormancy Loss in Bromus tectorum (opens in a new tab)

  4. Generalization of Memory Scanning and Visual Search Principles to Higher Order Information Processing

    … mapping (VM) across trials. Reaction time was a linear function of the number of comparisons with a positive slope of 48 msec per word, 92 msec per category. Results suggest self-terminating search with reaction time being a linear function of memory and display comparisons with little or no …

    uiuc Repository record for Generalization of Memory Scanning and Visual Search Principles to Higher Order Information Processing (opens in a new tab)

  5. Αναλυτική επίλυση μη γραμμικών προβλημάτων διήθησης

    … THE DIFFURIVITY IS ASSUMED TO BE AN EXPONENTLY FUNCTION, B) THE DIFFURIVITY IS ASSUMED TO BE A LINEAR FUNCTION, C) THE DIFFURIVITY IS ASSUMED TO BE A FUNCTION D=Γ(Θ-ΘΟ)Δ.

    greece Repository record for Αναλυτική επίλυση μη γραμμικών προβλημάτων διήθησης (opens in a new tab)

  6. Neutron spectrum from 252Cf spontaneous fission

    … pulse-height response was verified to be a linear function of fragment velocity. The measurements of the neutron spectrum in the restframe of the fragment are compared with previous work and are found to deviate significantly from the predicted observations of the simple form of the …

    cape-town Repository record for Neutron spectrum from 252Cf spontaneous fission (opens in a new tab)

  7. Estudos em meio poroso heterogêneo sujeito a bombeamentos periódicos

    … it was noticed that it proceeded like a linear function of the discharge and the period. From this function, we can make a distinction, for the case, whether the most permeable media is directly subjected to the pumping or not.

    brazil-uerj Repository record for Estudos em meio poroso heterogêneo sujeito a bombeamentos periódicos (opens in a new tab)

  8. Optimisation over the non-dominated set of a multi-objective optimisation problem

    … (MOP) involves multiple conflicting objective functions. The non-dominated set of this problem is of interest because it is composed of the “best” trade-off for a decision maker to choose according to his preference. We assume that this selection process can be modelled by maximising a function …

    lancaster Repository record for Optimisation over the non-dominated set of a multi-objective optimisation problem (opens in a new tab)

  9. A typology of consumer preference parabolas

    … scenarios where consumer preference is a non-linear function of determinant product attributes. Chapter One reviews the extant literature, identifies a number of research questions, develops a conceptual framework, and creates a propositional inventory; a central aspect of the conceptual …

    lsu-thes Repository record for A typology of consumer preference parabolas (opens in a new tab)

  10. ΜΕΛΕΤΗ ΤΟΥ ΜΗΧΑΝΙΣΜΟΥ ΠΡΟΚΑΤΕΡΓΑΣΙΑΣ ΓΙΑ ΤΗΝ ΜΕΤΑΤΡΟΠΗ ΤΗΣ ΒΙΟΜΑΖΑΣ ΣΕ ΚΑΥΣΙΜΑ ΚΑΙ ΧΗΜΙΚΑ: ΕΠΙΔΡΑΣΗ ΣΤΗ ΣΤΕΡΕΑ ΦΑΣΗ

    … WAS EVALUATED D.CONVERSION YIELDS ARE INVERSE LINEAR FUNCTIONS OF PARTICLE SIZE AND LINEAR FUNCTION OF DEGREE OF DELIGNIFICATION. SECOND ORDER CORRELATIONS WITH RESPECT TO CRYSTALLINITY INDEX AND LIGNIN CONTENT OF CONVERSION PARAMETERS ARE PROPOSED.

    greece Repository record for ΜΕΛΕΤΗ ΤΟΥ ΜΗΧΑΝΙΣΜΟΥ ΠΡΟΚΑΤΕΡΓΑΣΙΑΣ ΓΙΑ ΤΗΝ ΜΕΤΑΤΡΟΠΗ ΤΗΣ ΒΙΟΜΑΖΑΣ ΣΕ ΚΑΥΣΙΜΑ ΚΑΙ ΧΗΜΙΚΑ: ΕΠΙΔΡΑΣΗ ΣΤΗ ΣΤΕΡΕΑ ΦΑΣΗ (opens in a new tab)

  11. The effects of nitrogen concentration between 0.27 per cent and 1.30 per cent on internal friction peaks in 304L stainless steel

    … of interstitial nitrogen increased as a linear function of the nitrogen content. The activation energy of diffusion was found to decrease with an increase in nitrogen content. The presence of another internal friction peak was observed in the spectrum of the sar.iple containing 1.30 …

    vt Repository record for The effects of nitrogen concentration between 0.27 per cent and 1.30 per cent on internal friction peaks in 304L stainless steel (opens in a new tab)

  12. The kinetics of growth competition during rapid solidification of ternary steel alloys

    … of undercooling and was determined to be a function of solute concentration. Because the build-up of solute ahead of the dendrite acts to slown down the growing tip, growth velocity decreases as solute concentation increases. It has been shown previously that at a given undercooling, the fee …

    mit Repository record for The kinetics of growth competition during rapid solidification of ternary steel alloys (opens in a new tab)

  13. Design of a High Dynamic Range CMOS Variable Gain Amplifier for Wireless Sensor Networks

    … simulation, layout and testing results for a dB-linear, high dynamic gain range CMOS variable gain amplifier (VGA). The design adopts a new approximated exponential equation called the pseudo exponential equation to implement the dB-linear function. The proposed VGA is designed to have an …

    arkansas Repository record for Design of a High Dynamic Range CMOS Variable Gain Amplifier for Wireless Sensor Networks (opens in a new tab)

  14. A Series Solution to the Porous Medium Equation

    … when the diffusivity is a power-law function of thehydraulic head, not only a linear function as in the case of theBoussinesq equation. We consider the case of a one-dimensionalaquifer, initially dry, and of semi-infinite extent. At theboundary representing a fluid source, the …

    unr Repository record for A Series Solution to the Porous Medium Equation (opens in a new tab)

  15. Buildup/Washoff Model for Dissolved Iron in Stormwater Runoff

    … analyzed for 14 storm events. The model used a linear function of antecedent dry time for the buildup model. The rating curve assumption was selected to estimate the pollutant transport capacity. In a further step the two were combined. The derived Buildup/Washoff model was calibrated for the …

    uno Repository record for Buildup/Washoff Model for Dissolved Iron in Stormwater Runoff (opens in a new tab)

  16. The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions

    … equaliser. A neural network is essentially a non-linear classifier; in general a neural network is able to classify data by employing a non-linear function. The primary subject of this dissertation is the comparative performance of neural networks employing non-localised basis (non-linear) …

    cape-town Repository record for The application of neural networks to communication channel equalisation : a comparison between localised and non-localised basis functions (opens in a new tab)

  17. Optimization of plane frames by modification of fully stressed design method

    … the load carried by each member is not only a function of the applied load, but in general a highly non-linear function of the relative cross-sectional properties of the members. Since the feasible region is non-convex, it is possible to have more than one local minimum each corresponding to a …

    uiuc Repository record for Optimization of plane frames by modification of fully stressed design method (opens in a new tab)

  18. Gaussian processes at the Helm(holtz): A more fluid model for ocean currents

    … velocity to be a continuous but highly non-linear function of spatial location, Gaussian processes (GPs) offer an attractive model. But we show that applying a GP with a standard stationary kernel directly to buoy data can struggle at both current prediction and divergence identification – …

    mit Repository record for Gaussian processes at the Helm(holtz): A more fluid model for ocean currents (opens in a new tab)

  19. Interior point and outer approximation methods for conic optimization

    … represented as a conic problem that minimizes a linear function over the intersection of an affine subspace with a convex cone. An advantage of representing convex problems in conic form is that, under certain regularity conditions, a conic problem has a simple and easily checkable certificate of …

    mit Repository record for Interior point and outer approximation methods for conic optimization (opens in a new tab)

  20. Nitrification and denitrification: biological nitrogen removal and sludge generation at the York River treatment plant

    … zone. Anaerobic and anoxic denitrification was a linear function of the mass of nitrate recycled to the anoxic zone. Fifty to seventy-five percent of the denitrification took place in the aerobic basin during both process modes, but more aerobic denitrification occurred for the A²/O operation. …

    vt Repository record for Nitrification and denitrification: biological nitrogen removal and sludge generation at the York River treatment plant (opens in a new tab)

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