Essays about: "Complex Error Function"

Showing result 6 - 10 of 43 essays containing the words Complex Error Function.

1. 6. Back analysis of rock mass properties in the regional fault zone under Lake Mälaren

   University essay from KTH/Jord- och bergmekanik

   Author : Jiaqi Liu; [2022]
   Keywords : Rock mass property; back analysis; tunnel deformation; optimization algorithm; numerical analysis; Bergmassans egenskaper; bakåtanalys; tunnleldeformation; optimeringingsalgoritm; numeriska analyser.;

   Abstract : The properties of the surrounding rock mass in underground projects have significant impacts on the design and construction. However, it is quite challenging to evaluate rock mass properties due to the great uncertainties of the geological conditions. READ MORE

3. 7. Adaption of Inertial Confinement Fusion Resultsto Spherical Plasma Expansion at Comets

   University essay from Uppsala universitet/Institutionen för fysik och astronomi; Uppsala universitet/Institutet för rymdfysik, Uppsalaavdelningen

   Author : Viktor Sparrman; [2022]
   Keywords : Plasma; Inertial confinement fusion; comet; plasma expansion; Vlasov-Poisson; integral invariants; ergodicity;

   Abstract : Recent missions to solar system comets, such as ESA's Rosetta mission, raise interest for models and descriptions of their plasma environment. The interaction with various space phenomena such as stellar wind make the construction of an analytical description difficult. READ MORE

4. 8. Anomaly or not Anomaly, that is the Question of Uncertainty : Investigating the relation between model uncertainty and anomalies using a recurrent autoencoder approach to market time series

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Anton Vidmark; [2022]
   Keywords : Uncertainty in deep learning; Bayesian; anomaly detection; novelty detection; stock market; time series;

   Abstract : Knowing when one does not know is crucial in decision making. By estimating uncertainties humans can recognize novelty both by intuition and reason, but most AI systems lack this self-reflective ability. In anomaly detection, a common approach is to train a model to learn the distinction between some notion of normal and some notion of anomalies. READ MORE

5. 9. Combined Regularisation Techniques for Artificial Neural Networks

   University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Author : Joseph Binns; [2022]
   Keywords : Artificial Neural Networks; ANNs; Overfitting; Combined Regularisation Techniques; Regularisation Techniques; Regularisation; L2; Weight Decay; Dropout; Early Stopping; Physics and Astronomy;

   Abstract : 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

6. 10. Pricing collateralized loan obligation tranches using machine learning : Machine learning applied to financial data

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Marcus Enström; [2022]
   Keywords : Collateralized loan obligation; Machine learning; Artificial neural networks; Financial data; Ensemble methods; Collateralized loan obligation; Maskininlärning; Artificiella neurala nätverk; Finansiell data; Ensemblemetoder;

   Abstract : Machine learning and neural networks have recently become very popular in a large category of domains, partly thanks to their ability to solve complex problems by finding patterns in data, but also due to an increase in computing power and data availability. Successful applications of machine learning include for example image classification, natural language processing, and product recommendation. READ MORE