Sökning: "neural networks modelling"
Visar resultat 1 - 5 av 94 uppsatser innehållade orden neural networks modelling.
1. On modelling OMXS30 stocks - comparison between ARMA models and neural networks
Master-uppsats, Uppsala universitet/Matematiska institutionenSammanfattning : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. LÄS MER
2. Transformer Offline Reinforcement Learning for Downlink Link Adaptation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Recent advancements in Transformers have unlocked a new relational analysis technique for Reinforcement Learning (RL). This thesis researches the models for DownLink Link Adaptation (DLLA). LÄS MER
3. Modelling Proxy Credit Cruves Using Recurrent Neural Networks
Master-uppsats, KTH/Matematisk statistikSammanfattning : Since the global financial crisis of 2008, regulatory bodies worldwide have implementedincreasingly stringent requirements for measuring and pricing default risk in financialderivatives. Counterparty Credit Risk (CCR) serves as the measure for default risk infinancial derivatives, and Credit Valuation Adjustment (CVA) is the pricing method used toincorporate this default risk into derivatives prices. LÄS MER
4. InclusiveRender A metaverse Engine prototype to support Accessible Environments for people with ASD
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : The metaverse has seen increased usages in its capabilities as an educational tool by immersing users in virtual scenarios. This technology is inaccessible for user groups that require higher degrees of accessibility and personalization, as most metaverse implementations do not adjust to the user’s needs. LÄS MER
5. Modelling Long Term Memory in the Bayesian Confidence Neural Network Model
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Memory is a fascinating and complex part of human life. Understanding memory and simulating itthrough modelling can help society take steps towards understanding health issues such asAlzheimer's, dementia and amnesia. LÄS MER