Sökning: "neural network regression"
Visar resultat 1 - 5 av 42 avhandlingar innehållade orden neural network regression.
1. Efficient training of interpretable, non-linear regression models
Sammanfattning : Regression, the process of estimating functions from data, comes in many flavors. One of the most commonly used regression models is linear regression, which is computationally efficient and easy to interpret, but lacks in flexibility. LÄS MER
2. Approximative Uncertainty in Neural Network Predictions
Sammanfattning : Suppose data-driven black-box models, e.g., neural networks, should be used as components in safety-critical systems such as autonomous vehicles. In that case, knowing how uncertain they are in their predictions is crucial. LÄS MER
3. Capturing steering feel : a step towards implementation of active steering in heavy vehicles
Sammanfattning : .... LÄS MER
4. Utilization of a GSHP System in a DHC Network : modeling and optimization
Sammanfattning : The ground source heat pumps (GSHPs) of customers connected to the district heating and cooling (DHC) network can benefit both the customer and the energy company. However, operating the GSHP to minimize the cost of providing heating and cooling to the customer while ensuring the long-term stability of the ground temperature is a challenge. LÄS MER
5. ICU prognostication: Time to re-evaluate? Register-based studies on improving prognostication for patients admitted to the intensive care unit (ICU)
Sammanfattning : Background: ICU prognostication is difficult because of patients’ prior comorbidities and their varied reasons for admission. The model used for ICU prognostication in Sweden is the Simplified Acute Physiology Score 3 (SAPS 3), which uses information gathered within one hour of ICU admission to predict 30-day mortality. LÄS MER