Essays about: "neural network modelling"

Showing result 6 - 10 of 102 essays containing the words neural network modelling.

1. 6. Solving Ordinary Differential Equations and Systems using Neural Network Methods

   University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Author : Mimmi Westrin; [2023]
   Keywords : Neural network methods; trial solutions; numerical methods; Lotka-Volterra system; SEIR model;

   Abstract : The applications of differential equations are many. However, many differential equations modelling real-world scenarios are very complex and it can be of great difficulty to find an exact solution if one even exists. Thus, it is of importance to be able to approximate solutions of differential equations. READ MORE

3. 7. Credit Exposure Modelling Using Differential Machine Learning

   University essay from Lunds universitet/Matematisk statistik

   Author : Måns Karp; Samuel Wagner; [2023]
   Keywords : Counterparty credit risk; Differential machine learning; Exposure modelling; Heston model; Option pricing; Mathematics and Statistics;

   Abstract : Exposure modelling is a critical aspect of managing counterparty credit risk, and banks worldwide invest significant time and computational resources in this task. One approach to modelling exposure involves pricing trades with a counterparty in numerous potential future market scenarios. READ MORE

4. 8. Machine Learning-Based Instruction Scheduling for a DSP Architecture Compiler : Instruction Scheduling using Deep Reinforcement Learning and Graph Convolutional Networks

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

   Author : Lucas Alava Peña; [2023]
   Keywords : Instruction Scheduling; Deep reinforcement Learning; Compilers; Graph Convolutional Networks; Schemaläggning av instruktioner; Deep Reinforcement Learning; kompilatorer; grafkonvolutionella nätverk;

   Abstract : Instruction Scheduling is a back-end compiler optimisation technique that can provide significant performance gains. It refers to ordering instructions in a particular order to reduce latency for processors with instruction-level parallelism. READ MORE

5. 9. Random matrix theory in machine learning

   University essay from KTH/Matematik (Avd.)

   Author : Lina Leopold; [2023]
   Keywords : Mathematics; mathematical statistics; machine learning; random matrix theory; neural networks; Matematik; matematisk statistik; maskininlärning; slumpmatristeori; neuronnätverk;

   Abstract : In this thesis, we review some applications of random matrix theory in machine learning and theoretical deep learning. More specifically, we review data modelling in the regime of numerous and large dimensional data, a method for estimating covariance matrix distances in the aforementioned regime, as well as an asymptotic analysis of a simple neural network model in the limit where the number of neurons is large and the data is both numerous and large dimensional. READ MORE

6. 10. Software Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks

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

   Author : Rémi Bourgerie; [2023]
   Keywords : 5G 4G; Federated Learning; Graoh Learning; Graph-based Federated Learning; Temporal Graph Neural Networks; Time Series; Anomaly Detection; Fault Detection; 5G 4G; Federerat lärande; Graf lärande; Grafbaserat federerat lärande; Temporal Graph Neural Networks; Tidsserier; Upptäckt av anomalier; Upptäckt av fel;

   Abstract : The increasing complexity of telecom networks, induced by the recent development of 5G, is a challenge for detecting faults in the telecom network. In addition to the structural complexity of telecommunication systems, data accessibility has become an issue both in terms of privacy and access cost. READ MORE