parameter optimisation
Hyper parameter Optimisation of Gaussian Process Reinforcement Learning for Statistical Dialogue Management
... hyper-parameter optimisation, we show that the policy with the optimised kernel function outperforms both the policy with hand specified kernel parameters and the one with a standard non- parametrised ...
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Deep parameter optimisation for face detection using the Viola-Jones algorithm in OpenCV
... deep parameter optimisation to investigate improvements to face detection using the Viola-Jones algorithm in OpenCV, allowing a trade- off between execution time and classification ...
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Parameter optimisation for location extraction and prediction applications
... of parameter optimisation that selects the most appropriate parameters for both location extraction and the subsequent learning algorithm employed ...mathematical optimisation through the presented ...
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Moulding Parameter Optimisation for the Best Sintered Density
... and optimisation of the process parameters have triggered numerous research works, as they need to grasp the in depth knowledge of different processes and accurate modelling techniques for each ...Taguchi ...
5
An exploration of evolutionary computation applied to frequency modulation audio synthesis parameter optimisation
... Hocaoglu and Sanderson (1997) incorporated minimal representation size cluster analysis (MRSC) into the GA for evolving unknown multimodal optimisation problems. This algorithm follows a comparable procedure to ...
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Land-surface parameter optimisation using data assimilation techniques: the adJULES system V1.0
... adJULES parameter estimation system has been developed to search for locally optimum parameters by cali- brating against ...optimised parameter values for the five plant functional types (PFTs) in ...
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Parameter optimisation for a better representation of drought by LSMs: inverse modelling vs sequential data assimilation
... the optimisation (either inverse modelling or LDAS tuning) on parameter values (spatial median values ± standard deviation) of the ISBA model (MaxAWC and N L ), on the median value of B agX and LAI max , on ...
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Simultaneous feature selection and parameter optimisation using an artificial ant colony : case study of melting point prediction
... the optimisation phase, the ants move more or less randomly, as the moving probabilities are essen- tially equal for all features and parameter ...the optimisation phase as particular descriptors are ...
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Simultaneous feature selection and parameter optimisation using an artificial ant colony : case study of melting point prediction
... the optimisation phase, the ants move more or less randomly, as the moving probabilities are essen- tially equal for all features and parameter ...the optimisation phase as particular descriptors are ...
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Sintering parameter optimisation of the SS316L Metal Injection Molding (MIM) compacts for final density using taguchi method
... (2008) resulting a signi ficant optimum inject ion pa rameier for MIM feed stock. As a conseq ue nce to th e inject ion parameter optimised by those litera tures , this parer presents a [r] ...
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A combined DEM–FEM numerical method for Shot Peening parameter optimisation
... In can be concluded that with a higher mass flow rate 𝑟 ! the energy dissipation increases due to the large number of shot-shot interactions. A lower mass is therefore more suitable for the peening process with smaller ...
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Process parameter optimisation of laser clad iron based alloy: predictive models of deposition efficiency, porosity and dilution
... considering parameter selection, it must be noted that as power independent de- position efficiency is not affected by processing parameters, the pro- cessing parameters may not be able to be tailored to achieve 100% ...
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Parameter optimisation of river water quality models using genetic algorithms
... Table 4.7 shows the statistics of estimated incremental flows for each river reach determined from the 10 events (Table 3.9) to give an overall inchcation of the magnitude of flow used[r] ...
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Visual parameter optimisation for biomedical image processing
... of parameter tweaking and automation, a number of visualisation methods have been developed (for example, see ...in parameter space to guide users to optimal values ...
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Multi-parameter optimisation of quantum optical systems
... To start investigating any convergence (or lack thereof) we may look at the sampled costs from each run over time, as the algorithm explored and refined its estimates. These are shown for the longest run in Fig. 5.16. We ...
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Optimal path planning for nonholonomic robotics systems via parametric optimisation
... Abstract. Motivated by the path planning problem for robotic systems this paper considers nonholonomic path planning on the Euclidean group of motions SE(n) which describes a rigid bodies path in n-dimensional Euclidean ...
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Hyperparameter optimisation for improving classification under class imbalance
... Results of our experiments demonstrate that an improve- ment can be obtained by applying hyperparameter tuning. In the six scenarios, optimising the hyperparameters for both classification algorithms and resampling ...
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SPH propagation back-analysis of Baishuihe landslide in south-western China
... Results: Through stepwise parameter optimisation the best reconstruction of the observed deposition phenomena could be achieved considering an initial landslide volume of about 0.5 milli[r] ...
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Parallel Dynamic Parameter Adaption of Adaptive Array Antennas Based on Nature Inspired Optimisation
... number of the fitness evaluations is know, which can be used to determine a new solution. In order to arrive at such a solution, a more strictly plan can be defined from the beginning, than otherwise often the case is. ...
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Development and applications of novel optimal control algorithms
... LIST OF ABBREVIATIONS Abbreviation Description ISOPE Integrated system optimisation and parameter estimation DISOPE Dynamic ISOPE ROP Real optimal control problem MOP Model-based optimal[r] ...
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