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Showing 1 to 20 of 22 for “"parameter optimisation"”.

  1. Parameter optimisation of river water quality models using genetic algorithms

    Rivers can provide valuable supply of drinking water for humans, irrigation water to farmlands, water for hydropower and home for many aquatic ecosystems. However, due to population increase and its adverse effects on the rivers, inappropriate farming activities in the river catchments, and other …

    vu-aus Repository record for Parameter optimisation of river water quality models using genetic algorithms (opens in a new tab)

  2. Machine learning-based stress-strain prediction and process parameter optimisation in material extrusion additive manufacturing

    … but also for guiding the design of printing parameters tailored to the application-specific mechanical requirements. Despite progress in empirical modelling and data-driven approaches, most existing methods focus on isolated mechanical indicators such as yield strength or modulus. These …

    exeter

  3. Investigation of mould design and process parameter optimisation of plastic injection moulding for thin wall part

    … by the moulders since the mould and processing parameters are critical to produce good quality of thin wall parts. This research describes the mould design and process parameter aspects of thin wall part focusing on tubular shape The aim of the research is to investigate the factors that …

    uthm Repository record for Investigation of mould design and process parameter optimisation of plastic injection moulding for thin wall part (opens in a new tab)

  4. Parameter estimation of urban drainage models

    … models depends on the correct selection of model parameter values. Some of these parameters can be physically measured, whereas the other parameters are impossible or difficult to measure. Therefore, these parameter values, which are impossible or difficult to measure physically, have to be …

    vu-aus Repository record for Parameter estimation of urban drainage models (opens in a new tab)

  5. Geometric numerical integration for optimisation

    … we study geometric numerical integration for the optimisation of various classes of functionals. Numerical integration and the study of systems of differential equations have received increased attention within the optimisation community in the last decade, as a means for devising new optimisation

    cambridge Repository record for Geometric numerical integration for optimisation (opens in a new tab)

  6. Improving Results of Differential Evolution Algorithm

    Optimisation problems are of prime importance in scientific and engineering communities. Many day-to-day tasks in these fields can be classified as optimisation problems. Due to their enormous solution spaces, optimisation problems frequently lie in class NP. In such cases, engineers and …

    maynooth Repository record for Improving Results of Differential Evolution Algorithm (opens in a new tab)

  7. Optimising BIPV in High-Rise Buildings in Hot Climates: A Parametric Study and Design Tool

    … limited. This thesis investigates how structural parameters affect the natural ventilation cooling and electrical performance of high-rise BIPV systems, and develops a practical design tool for early-stage use. A mixed-method framework was adopted. A questionnaire survey and structural equation …

    de-montfort Repository record for Optimising BIPV in High-Rise Buildings in Hot Climates: A Parametric Study and Design Tool (opens in a new tab)

  8. Synthesis of stochastic learning automata.

    … applications to simulated and real system parameter optimisation problems. To provide continuity with previous theoretical studies and also lay the necessary foundations of hardware system design experience, basic two-state systems were designed and constructed initially. A standard modular …

    rgu Repository record for Synthesis of stochastic learning automata. (opens in a new tab)

  9. A theoretical approach to the prediction of haemolysis in centrifugal blood pumps

    … in this study to facilitate an effective pump optimisation. The optimisation process seeks to maximise flow performance and minimise blood trauma which is primarily caused by hydrodynamic stresses. A general mechanical blood damage theory was developed which comprises a combination of the …

    strathclyde Repository record for A theoretical approach to the prediction of haemolysis in centrifugal blood pumps (opens in a new tab)

  10. Modelling of urban stormwater drainage systems using ILSAX

    … model, it is necessary to estimate the model parameters for catchments under consideration. The model parameters include loss model parameters (i.e. infiltration and depression storage parameters) and other parameters related to the catchment (such as percent imperviousness, soil cover and …

    vu-aus Repository record for Modelling of urban stormwater drainage systems using ILSAX (opens in a new tab)

  11. DEVELOPMENT OF LASER MICRO-FABRICATED SURFACES TO ACCELERATE & ENHANCE ENDOTHELIAL CELL ADHESION AND PROLIFERATION

    … and (ii) microripples. Through a series of laser parameter optimisation experiments control of the melt expulsion mechanism and the formation of an intact recast ring could be generated. Overlapping of the focused beam resulted in an overlapping of the recast rings, thus resulting in surfaces …

    liverpool-jm Repository record for DEVELOPMENT OF LASER MICRO-FABRICATED SURFACES TO ACCELERATE & ENHANCE ENDOTHELIAL CELL ADHESION AND PROLIFERATION (opens in a new tab)

  12. The Effect of Surface Processing Methods on the Laser Induced Damage Threshold of Fused Silica

    … method is a non-fracture polishing process. 3. Parameter optimisation in the MRF process is done by the Taguchi designing method. This optimisation mainly focuses on the surface roughness because it is also another factor that limits the LIDT. 4. Two post polishing treatments, Ion Beam Etching …

    cent-lancashire Repository record for The Effect of Surface Processing Methods on the Laser Induced Damage Threshold of Fused Silica (opens in a new tab)

  13. Analysis on actuator dynamics in active wheelsetcontrol

    … is the detailed study on actuator dynamics and parameter optimisation to improve the effectiveness/efficiency of actuator performances while the second aspect is the development of a state observer to estimate key feedback signals, for the control of actuators, which are difficult to measure …

    salford Repository record for Analysis on actuator dynamics in active wheelsetcontrol (opens in a new tab)

  14. Detection and Analysis of Molten Aluminium Cleanliness Using a Pulsed Ultrasound System

    … and a radial basis function network. The hyperparameters are tuned using 10- fold repeated cross-validation. The multi-layer perceptron offers the best performance in all cases. For determining the quality outcome of a cast (passed or failed), all the models perform according to business …

    cape-town Repository record for Detection and Analysis of Molten Aluminium Cleanliness Using a Pulsed Ultrasound System (opens in a new tab)

  15. Application of magnetic resonance elastography to atherosclerosis

    … variables and mechanical, imaging and inversion parameters on the wave images and elastograms. Subject to parameter optimisation, a change in local plaque shear modulus with composition was established. Amongst other variables, an increase of the lipid pool volume in 10mm3 increments was shown to …

    edinburgh Repository record for Application of magnetic resonance elastography to atherosclerosis (opens in a new tab)

  16. DNA scaffolds for functional hydrogels

    … of such complex structures can guide the parameter optimisation of the individual building blocks for the model described in Chapter 4. Chapter 6 concludes the thesis and presents an outlook for the future work that emerged out of my experimental and numerical studies.

    cambridge Repository record for DNA scaffolds for functional hydrogels (opens in a new tab)

  17. Design of segmented outer rotor permanent magnet flux switching motor in transverse shape for high torque applications

    … average torque/power of 470 Nm/45 kW after using parameter optimisation method (POM). This result was compared with OR�HEFSM having torque/power of 335 Nm/123 kW and OR-FEFSM having torque/power of 380 Nm/29 kW. Meanwhile, the torque achieved with SegOR-vi PMFSM is 28.72 % and 19.14 % higher than …

    uthm Repository record for Design of segmented outer rotor permanent magnet flux switching motor in transverse shape for high torque applications (opens in a new tab)

  18. An Experimental Investigation into the Dimensional Quality of the Material Extrusion Additive Manufacturing Process

    … accuracy is primarily a function of printing parameter optimisation and flow behaviour during deposition. The majority of prior work in this domain has focused on complete artefacts. However, more recent landmark studies have demonstrated that poor dimensional accuracy occurs at a local strand …

    cambridge Repository record for An Experimental Investigation into the Dimensional Quality of the Material Extrusion Additive Manufacturing Process (opens in a new tab)

  19. Continuum Damage Mechanics (CDM) modelling of dislocation creep in 9-12% Cr creep resistant steels

    … 9- 12% Cr steels which was implemented using a parameter optimisation routine. The results obtained were compared with experimentally obtained, long-term creep-time and microstructural data for the 11% Cr steel CB8 and the 9% Cr steel P92. The CDM creep-time predictions were found to vary in …

    cape-town Repository record for Continuum Damage Mechanics (CDM) modelling of dislocation creep in 9-12% Cr creep resistant steels (opens in a new tab)

  20. Advances in Optimisation of Model Parameters and Hyperparameters for Neural Networks

    … each setting is the problem of optimising model parameters to minimise some loss metric, so the chosen optimisation algorithm plays a fundamental role in the training process — both through the optimisation logic itself, and the auxiliary *hyperparameters* which configure the optimiser’s …

    cambridge Repository record for Advances in Optimisation of Model Parameters and Hyperparameters for Neural Networks (opens in a new tab)

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