Essays about: "Layer Recurrent Network"

Showing result 1 - 5 of 22 essays containing the words Layer Recurrent Network.

1. 1. Prediction and Analysis of 5G beyond Radio Access Network

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Gaurav Singh; Shreyansh Singh; [2023]
   Keywords : - LSTM; RNN; AE-LSTM; Deep Learning; Machine Learning; network traffic flow; forecasting; quality-of-service.;

   Abstract : Network traffic forecasting estimates future network traffic based on historical traffic observations. It has a wide range of applications, and substantial attention has been dedicated to this research area. READ MORE

3. 2. Graph Neural Network for Traffic Flow Forecasting : Does an enriched adjacency matrix with low dimensional dataenhance the performance of GNN for traffic flow forecasting?

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Fredrik Kortetjärvi; Rohullah Khorami; [2023]
   Keywords : Graph Neural Network;

   Abstract : Nowadays, machine learning methods are used in many applications and deployed in manyelectronic devices to solve problems and predict future states. One of the challenges mostbig cities confront is traffic jams since the roads are crammed with more and more vehicles, which will easily cause traffic congestion. READ MORE

4. 3. Artificial Neural Network in Exhaust Temperature Modelling : Viability of ANN Usage in Gasoline Engine Modelling

   University essay from Linköpings universitet/Fordonssystem; Linköpings universitet/Tekniska fakulteten

   Author : Musa Nibras; Roos Linus; [2022]
   Keywords : Artificial Neural Network; Data-driven Modelling; Engine Modelling; Transient behaviour; Static behaviour; Feed Forward Network; Layer Recurrent Network; NARX; Long Short Term Memory; Gated Recurrent Network; Data processing;

   Abstract : Developing and improving upon a good empirical model for an engine can be time-consuming and costly. The goal of this thesis has been to evaluate data-driven modelling, specifically neural networks, to see how well it can handle training for some static models like the mass flow of air into the cylinder, mean effective pressure and pump mean effective pressure but also for transient modelling, specifically the exhaust gas temperature. READ MORE

5. 4. A comparative study of Neural Network Forecasting models on the M4 competition data

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Markus Ridhagen; Petter Lind; [2021]
   Keywords : Time series analysis; M4; neural network; NN; artificial neural network; ANN; feedforward neural network; FNN; multilayer perceptron; MLP; recurrent neural network; RNN; long short-term memory; LSTM;

   Abstract : The development of machine learning research has provided statistical innovations and further developments within the field of time series analysis. This study seeks to investigate two different approaches on artificial neural network models based on different learning techniques, and answering how well the neural network approach compares with a basic autoregressive approach, as well as how the artificial neural network models compare to each other. READ MORE

6. 5. Unsupervised learning of data representations in brain-like neural networks

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

   Author : Arian Javdan; [2021]
   Keywords : ;

   Abstract : Recently, there has been a growing interest in brain-plausible neural networks that closely resemble the brain’s structure. However, conventional networks do not make good models for the brain since these connections are modelled differently, hence the interest in brain-plausible networks. READ MORE