Essays about: "Regularisation Techniques"
Found 3 essays containing the words Regularisation Techniques.
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1. Combined Regularisation Techniques for Artificial Neural Networks
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Artificial neural networks are prone to overfitting – the process of learning details specific to a particular training data set. Success in preventing overfitting through combining the L2 and dropout regularisation techniques has led to the combination’s recent popularity. READ MORE
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2. Application and Evaluation of Artificial Neural Networks in Solvency Capital Requirement Estimations for Insurance Products
University essay from KTH/Matematisk statistikAbstract : The least squares Monte Carlo (LSMC) approach is commonly used in the estimation of the solvency capital requirement (SCR), as a more computationally efficient alternative to a full nested Monte Carlo simulation. This study compares the performance of artificial neural networks (ANNs) to that of the LSMC approach in the estimation of the SCR of various financial portfolios. READ MORE
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3. Machine learning in logistics : Increasing the performance of machine learning algorithms on two specific logistic problems
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Data Ductus, a multination IT-consulting company, wants to develop an AI that monitors a logistic system and looks for errors. Once trained enough, this AI will suggest a correction and automatically right issues if they arise. READ MORE