Sökning: "R-squared"

Visar resultat 1 - 5 av 42 uppsatser innehållade ordet R-squared.

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

    Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

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

    Sammanfattning : 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). LÄS MER

  2. 2. Plant yield prediction in indoor farming using machine learning

    Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Anjali Ashok; Mary Adesoba; [2023]
    Nyckelord :Yield prediction; Machine Learning; Hyperparameter tweaking; Support Vector Regression; Long Short-Term Memory; Artificial Neural Network;

    Sammanfattning : Agricultural industry has started to rely more on data driven approaches to improve productivity and utilize their resources effectively. This thesis project was carried out in collaboration with Ljusgårda AB, it explores plant yield prediction using machine learning models and hyperparameter tweaking. LÄS MER

  3. 3. CryptoCurrency Time Series analysis : Comparative analysis between LSTM and BART Algorithm

    Uppsats för yrkesexamina på grundnivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Lakshmi Vyshnavi Nerella; Chiranjeevi Ponnada; [2023]
    Nyckelord :;

    Sammanfattning : Background: Cryptocurrency is an innovative digital or virtual form of money thatuses cryptographic techniques for secured financial transactions within a decentralized structure. Due to its high volatility and susceptibility to external factors, itis difficult to understand its behavior which makes accurate predictions challengingfor the investors who are trying to forecast price changes and make profitable investments. LÄS MER

  4. 4. Revisiting Tobin's Q: Integrating Intangible Capital into the Neoclassical Framework

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Erick Momanyi; [2023]
    Nyckelord :Intangible capital; Tobin s Q; Organizational Capital; Investment; R D;

    Sammanfattning : This paper seeks to replicate and extend the seminal work of Peters and Taylor (2017) on the relationship between intangible capital and the investment q ratios. Our study spans 1975 to 2021, investigating dynamics in firms' physical and intangible investments. We examine data from 1975 to 2021. LÄS MER

  5. 5. Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Författare :Vincent Ball; Thomas Pegoraro; [2023]
    Nyckelord :Energy Market; Energy Prices; Renewable Energy; Machine Learning; Business and Economics;

    Sammanfattning : This paper investigates the best methods for modeling hourly profiles in the German energy market for the period between 2018 and 2022. Modeling emphasized variable renewable energy (VRE) and included information on the level of energy production, oil price, COVID lockdowns, and historic hourly energy spot prices. LÄS MER