Essays about: "RNN"

Showing result 1 - 5 of 73 essays containing the word RNN.

  1. 1. Sales Forecasting of Truck Components using Neural Networks

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Yeshwanth Reddy Gaddam; [2020]
    Keywords : Sales forecasting; Artificial Neural Networks; Long Short Term Memory; Multilayer Perceptron; Recurrent Neural Network.;

    Abstract : Background: Sales Forecasting plays a substantial role in identifying the sales trends of products for the future era in any organization. These forecasts are also important for determining the profitable retail operations to meet customer demand, maintain storage levels and to identify probable losses. READ MORE

  2. 2. How Certain Are You of Getting a Parking Space? : A deep learning approach to parking availability prediction

    University essay from Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Institutionen för datavetenskap

    Author : Mathias Nilsson; Sophie von Corswant; [2020]
    Keywords : monte carlo dropout; mc dropout; long short term memory; lstm; neural network; recurrent neural network; gradient tree boosting; rnn; gradient boosting regression tree; gbrt; quantile regression; traffic congestion; parking; parking occupancy; parking availability; parking space; parking lot; machine learning;

    Abstract : Traffic congestion is a severe problem in urban areas and it leads to the emission of greenhouse gases and air pollution. In general, drivers lack knowledge of the location and availability of free parking spaces in urban cities. READ MORE

  3. 3. Applying Machine Learning Methods to Predict the Outcome of Shots in Football

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Sara Hedar; [2020]
    Keywords : machine learning; neural networks; rnn; cnn; logistic regression; lstm; mlp; binary classification; imbalanced learning; football; football shots; shot predictions;

    Abstract : The thesis investigates a publicly available dataset which covers morethan three million events in football matches. The aim of the study isto train machine learning models capable of modeling the relationshipbetween a shot event and its outcome. That is, to predict if a footballshot will result in a goal or not. READ MORE

  4. 4. Forecasting the OMXS30 - a comparison between ARIMA and LSTM

    University essay from Uppsala universitet/Statistiska institutionen; Uppsala universitet/Statistiska institutionen

    Author : David Andréasson; Jesper Mortensen Blomquist; [2020]
    Keywords : machine learning; deep learning; neural networks; RNN; time series; stock market; index;

    Abstract : Machine learning is a rapidly growing field with more and more applications being proposed every year, including but not limited to the financial sector. In this thesis, historical adjusted closing prices from the OMXS30 index are used to forecast the corresponding future values using two different approaches; one using an ARIMA model and the other using an LSTM neural network. READ MORE

  5. 5. Vehicle Path Prediction Using Recurrent Neural Network

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Mim Kemal Tekin; [2020]
    Keywords : computer vision; autonomous driving; deep learning; uncertainty in deep learning;

    Abstract : Vehicle Path Prediction can be used to support Advanced Driver Assistance Systems (ADAS) that covers different technologies like Autonomous Braking System, Adaptive Cruise Control, etc. In this thesis, the vehicle’s future path, parameterized as 5 coordinates along the path, is predicted by using only visual data collected by a front vision sensor. READ MORE