Essays about: "RNN"

Showing result 26 - 30 of 159 essays containing the word RNN.

1. 26. Low Power Hardware Accelerator For Gated Recurrent Unit

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

   Author : Malavika Balakumar; [2022]
   Keywords : ;

   Abstract : Neural Networks are a subset of Machine Learning which are designed to recognize patterns. Recurrent Neural Networks are an important part of AI (Artificial Intelligence) which allows for short term as well as long term dependencies to be captured. READ MORE

3. 27. Super-Resolution Vehicle Trajectory using Recurrent Time Series Imputation

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Hasnain Roopawalla; [2022]
   Keywords : ;

   Abstract : Vehicle data finds its use in a variety of applications in the fields of machine learning and data analysis. The volume of available data is limited by the frequency of data collection, and for several reasons, it can be infeasible to simply amplify this frequency. READ MORE

4. 28. Generating Geospatial Trip DataUsing Deep Neural Networks

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Ahmed Alhasan; [2022]
   Keywords : Deep Learning; Machine Learning; Statistics; Generative Adversarial Networks; Computer Science; Generative Models;

   Abstract : Synthetic data provides a good alternative to real data when the latter is not sufficientor limited by privacy requirements. In spatio-temporal applications, generating syntheticdata is generally more complex due to the existence of both spatial and temporal dependencies. READ MORE

5. 29. Time Dependencies Between Equity Options Implied Volatility Surfaces and Stock Loans, A Forecast Analysis with Recurrent Neural Networks and Multivariate Time Series

   University essay from KTH/Matematik (Avd.)

   Author : Simon Wahlberg; [2022]
   Keywords : RNN; LSTM; GRU; vector autoregression; implied volatility surface; stock loan; equity options; multivariate time-series analysis; financial mathematics.; Rekursiva neurala nätverk; LSTM; GRU; VAR; implicerade volatilitetsytor; aktielån; aktieoptioner; multidimensionell tidsserieanalys; finansiell matematik.;

   Abstract : Synthetic short positions constructed by equity options and stock loan short sells are linked by arbitrage. This thesis analyses the link by considering the implied volatility surface (IVS) at 80%, 100%, and 120% moneyness, and stock loan variables such as benchmark rate (rt), utilization, short interest, and transaction trends to inspect time-dependent structures between the two assets. READ MORE

6. 30. Stock Price Prediction Using Machine Learning

   University essay from Södertörns högskola/Nationalekonomi

   Author : Yixin Guo; [2022]
   Keywords : Machine Learning; Stock Price; Time Series Data; Deep Learning;

   Abstract : Accurate prediction of stock prices plays an increasingly prominent role in the stock market where returns and risks fluctuate wildly, and both financial institutions and regulatory authorities have paid sufficient attention to it. As a method of asset allocation, stocks have always been favored by investors because of their high returns. READ MORE