Essays about: "Long-short-term-memory LSTM networks."

Showing result 1 - 5 of 140 essays containing the words Long-short-term-memory LSTM networks..

1. 1. Drivers of sea level variability using neural networks

   University essay from Göteborgs universitet/Institutionen för geovetenskaper

   Author : Linn Carlstedt; [2023-05-10]
   Keywords : ;

   Abstract : Understanding the forcing of regional sea level variability is crucial as many people all over the world live along the coasts and are endangered by extreme sea levels and the global sea level rise. The adding of fresh water into the oceans due to melting of the Earth’s land ice together with thermosteric changes has led to a rise of the global mean sea level with an accelerating rate during the twentieth century. READ MORE

3. 2. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Deepthy Prasad; Swathi Hampapura Sripada; [2023]
   Keywords : multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

   Abstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE

4. 3. Sales forecasting for supply chain using Artificial Intelligence

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

   Author : Vaibhav Mittal; [2023]
   Keywords : AI; sales forecasting; supply chain; predictive analytics; AI; försäljningsprognoser; supply chain; predictiv analys;

   Abstract : Supply chain management and logistics are two sectors currently experiencing a transformation thanks to the advent of AI(Artificial Intelligence) technologies. Leveraging predictive analytics powered by AI presents businesses with novel opportunities to streamline their operations effectively. READ MORE

5. 4. Machine Learning for State Estimation in Fighter Aircraft

   University essay from KTH/Optimeringslära och systemteori

   Author : Axel Boivie; [2023]
   Keywords : State estimation; machine learning; fighter aircraft; neural networks; long short- term memory; LSTM; sensor fusion; air data system; ADS.; Tillståndsestimering; maskininlärning; stridsflygplan; neurala nätverk; sensorfusion; luftdatasystem.;

   Abstract : This thesis presents an estimator to assist or replace a fighter aircraft’s air datasystem (ADS). The estimator is based on machine learning and LSTM neuralnetworks and uses the statistical correlation between states to estimate the angleof attack, angle of sideslip and Mach number using only the internal sensorsof the aircraft. READ MORE

6. 5. Modelling Proxy Credit Cruves Using Recurrent Neural Networks

   University essay from KTH/Matematisk statistik

   Author : Lucas Fageräng; Hugo Thoursie; [2023]
   Keywords : Deep Neural Networks; Credit Risk; Financial Modelling; LSTM; Credit Default Swaps; Credit Valuation Adjustment; Djupa Neurala Nätverk; Kreditrisk; Finansiell Modellering; LSTM; Kreditswappar; Kreditvärderingsjustering;

   Abstract : 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. READ MORE