Essays about: "Single Frequency Networks"

Showing result 1 - 5 of 36 essays containing the words Single Frequency Networks.

  1. 1. Spectral Portfolio Optimisation with LSTM Stock Price Prediction

    University essay from KTH/Matematisk statistik

    Author : Nancy Wang; [2020]
    Keywords : Artificial Neural Network; LSTM; Spectral factor model; Portfolio optimisation; Stock price prediction; Time series analysis; Risk estimation; Spectral risk; Frequency-specific beta decomposition; Artificiella neurala nätverk; LSTM; Spektralfaktormodell; Portföljoptimering; Aktieprispredikering; Tidsserieranalys; Riskestimering; Spektra risk; Frekvensspecifik beta dekomposition;

    Abstract : Nobel Prize-winning modern portfolio theory (MPT) has been considered to be one of the most important and influential economic theories within finance and investment management. MPT assumes investors to be riskaverse and uses the variance of asset returns as a proxy of risk to maximise the performance of a portfolio. READ MORE

  2. 2. Simulating Facilitation in a Spiking Neural Network

    University essay from Lunds universitet/Examensarbeten i molekylärbiologi

    Author : Alexander Kuzmin; [2020]
    Keywords : Biology and Life Sciences;

    Abstract : Many insects are able to detect, isolate and track small targets that move quickly against a dynamic background. This ability is enabled by a group of neurons called small target motion detectors (STMD). These neurons, among other properties, have a type of short term memory called response facilitation. READ MORE

  3. 3. Deep Learning Based Classification of Rail Defects Using On-board Monitoring in the Stockholm Underground

    University essay from KTH/Spårfordon

    Author : Tobias Niewalda; [2020]
    Keywords : ;

    Abstract : The purpose of this work is to find out if an artificial neural network can be useful purpose of this work is to find out if an artificial neural network can be useful in order to detect rail squats with the existing Quiet Track Measurement System (QTMS). Squats are surface-initiated rail defects which arise due to rolling contact fatigue. READ MORE

  4. 4. Object Tracking Achieved by Implementing Predictive Methods with Static Object Detectors Trained on the Single Shot Detector Inception V2 Network

    University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Author : Richard Dan William Barkman; [2019]
    Keywords : Supervised Machine Learning; Hyperparameter Optimisation; Convolutional Neural Networks; Lagrangian Mechanics; Predictive Methods;

    Abstract : In this work, the possibility of realising object tracking by implementing predictive methods with static object detectors is explored. The static object detectors are obtained as models trained on a machine learning algorithm, or in other words, a deep neural network. READ MORE

  5. 5. Super-Resolution for Fast Multi-Contrast Magnetic Resonance Imaging

    University essay from Umeå universitet/Institutionen för fysik

    Author : Erik Nilsson; [2019]
    Keywords : Deep learning; convolutional neural networks; CNN; super-resolution; MRI;

    Abstract : There are many clinical situations where magnetic resonance imaging (MRI) is preferable over other imaging modalities, while the major disadvantage is the relatively long scan time. Due to limited resources, this means that not all patients can be offered an MRI scan, even though it could provide crucial information. READ MORE