Model Calibration with Machine Learning by Haussamer, Nicolai Haussamer

“…It provides an introduction to the mathematics of basic neural networks and training algorithms. Two simplified experiments based on the Black-Scholes and constant elasticity of variance models are used to demonstrate the potential usefulness of neural networks in calibration. …”
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Acoustic emission-based diagnostics and prognostics of slow rotating bearings using Bayesian techniques

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Determination of chromic acid and sodium dichromate in a concentrated electrolytic solution with the aid of Artificial Neural Networks

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Historical Consistent Neural Networks for Wind Power Prediction by Rockefeller, Rockefeller

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The modelling of IR emission spectra and solid rocket motor parameters using neural networks and partial least squares by Hamp, Niko

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The development of a semi-empirical electrowinning model to predict process performance by Tucker, Mandy

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Using multistage pooling mechanisms to optimise HIV viral load testing by Smit, Johan Du Preez

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Prediction of construction material prices using macroeconomic indicators: A neural networks model by Shiha, Ahmed

“…For prediction of Steel prices, the ANN model developed using Python programing language had the superior performance over other models with its ability to predict the month-to-month variations in Steel prices while having mean-absolute-percentage error of 9.0% and 10.1% for training and testing sets respectively. …”
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Nonlinear adaptation of established linear and predictive control laws through safe reinforcement learning by Bras, Edward Hendrik

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"COMPULSORY PILOTAGE" a system in need of reform by Manjezi, Monwabisi

“…Following the grounding of John Fredriksen's 147 200-dwt tanker the Sea Empress earlier in 1996, for which pilot error was blamed, has again revived the debate about the liability of pilots performing a pilotage act under compulsory pilotage 1. …”
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Machine and component residual life estimation through the application of neural networks

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Analysis of vegetation structure in a trans-frontier savanna region using in-situ observations and SPOT 5 imagery

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The development of validated guidelines that contribute to the prevention of malpractice litigation in nursing practice in South Africa by Gcawu, Luleka Patricia

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An automated computer-assisted approximation of the nose in South Africans from CBCT (Cone Beam Computed Tomography) scans

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Artificial neural network decoding of multi-h CPM by Kannemeyer, Johan Etienne

“…Multi-h CPM schemes offer forward error correction (FEC) capabilities for continuous transmission, digital communication systems. …”
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Artificial neural networks modelling for mass appraisal of properties

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