Essays about: "RMSE"

Showing result 6 - 10 of 234 essays containing the word RMSE.

1. 6. 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

3. 7. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance

   University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

   Author : Stella Jarlöv; Anton Svensson Dahl; [2023]
   Keywords : demand forecasting; data augmentation; time series data; machine learning; restaurant industry; generative adversarial networks; TimeGAN; XGBoost;

   Abstract : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. READ MORE

4. 8. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models

   University essay from Högskolan i Skövde/Institutionen för informationsteknologi

   Author : Divya Chedayan; Harry Geo Fernandez; [2023]
   Keywords : machine learning; lettuce yield prediction; Regression; SVR; RF; DNN; MAE; MSE; RMSE; R-squared; Adjusted R-squared;

   Abstract : A key challenge for maximizing the world’s food supply is crop yield prediction. In this study, three machine models are used to predict the fresh weight (yield) of lettuce plants that are grown inside indoor farms hydroponically using the vertical farming infrastructure, namely, support vector regressor (SVR), random forest regressor (RFR), and deep neural network (DNN). READ MORE

5. 9. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Harsha Nanda Gudavalli; Khetan Venkata Ratnam Kancherla; [2023]
   Keywords : Bitcoin; Cryptocurrency; Machine Learning;

   Abstract : Background: Due to its decentralized nature and opportunity for substantial gains, cryptocurrency has become a popular investment opportunity. However, the highly unpredictable and volatile nature of the cryptocurrency market poses a challenge for investors looking to predict price movements and make profitable investments. READ MORE

6. 10. Volatility Modelling in the Swedish and US Fixed Income Market : A comparative study of GARCH, ARCH, E-GARCH and GJR-GARCH Models on Government Bonds

   University essay from Linköpings universitet/Nationalekonomi; Linköpings universitet/Filosofiska fakulteten

   Author : Sebastian Mortimore; William Sturehed; [2023]
   Keywords : GARCH; ARCH; GJR-GARCH; E-GARCH; ARMA; Government Bonds; Volatility; Loss functions; Fixed Income Market and realized volatility.; ARCH; GARCH; GJR-GARCH; E-GARCH; Statsobligationer och Volatilitet;

   Abstract : Volatility is an important variable in financial markets, risk management and making investment decisions. Different volatility models are beneficial tools to use when predicting future volatility. The purpose of this study is to compare the accuracy of various volatility models, including ARCH, GARCH and extensions of the GARCH framework. READ MORE