Sökning: "random Forests"

Visar resultat 21 - 25 av 147 uppsatser innehållade orden random Forests.

  1. 21. Wind power forecasting using random forests

    Master-uppsats, Lunds universitet/Institutionen för energivetenskaper

    Författare :Christoffer Ahrling; [2023]
    Nyckelord :machine learning; wind power; forecasting; random forest; Technology and Engineering;

    Sammanfattning : The present thesis investigated using the random forest machine learning algorithm for wind power forecasting. Meteorological prognoses for wind speed, wind direction, gust winds, and humidity were used. For historical data, wind minimum and temperature was also included. LÄS MER

  3. 22. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Alexander Wirdemo; [2023]
    Nyckelord :Artificial Intelligence; Machine Learning; ERP; invoice automation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor; Artificiell Intelligens; maskinlärning; ERP; fakturaautomation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor;

    Sammanfattning : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. LÄS MER

  4. 23. Beyond the Bubbles : a Study of Fungal Diversity and Gushing in Beer Production

    Master-uppsats, SLU/Dept. of Forest Mycology and Plant Pathology

    Författare :Alexander Pettersson; [2023]
    Nyckelord :Fusarium Head Blight; Fungal communities; Metabarcoding; Amplicon sequencing Malting barley; Gushing; Pink kernels; Random forests;

    Sammanfattning : Gushing, violent and spontaneous over-foaming of beer, is a well-known quality reducing phenomenon encountered in the brewing industry. The present study investigated the impact of fungal contamination in barley grains, specifically focusing on gushing and the occurrence of pink kernels. LÄS MER

  5. 24. Benchmarking Machine Learning Methods for Peptide Activity Predictions

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Boel Knutson; Lida Meskini Moudi; [2022-10-14]
    Nyckelord :Drug discovery; peptide; classification; molecular representation; Z-scales; pseudo amino acid composition; one-hot representation; random forests; support vector machines;

    Sammanfattning : One of the main challenges in the drug discovery process is to find a suitable compound for further analysis. The compound must affect the target relevant for the specific disease, while at the same time have desired properties to make it a safe and efficient drug candidate. LÄS MER

  7. 25. Predicting the size of a company winning a procurement: an evaluation study of three classification models

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Ellen Björkegren; [2022]
    Nyckelord :public procurement; classification; Linear Discriminant Analysis; Random Forests; Support Vector Machines;

    Sammanfattning : In this thesis, the performance of the classification methods Linear Discriminant Analysis (LDA), Random Forests (RF), and Support Vector Machines (SVM) are compared using procurement data to predict what size company will win a procurement. This is useful information for companies, since bidding on a procurement takes time and resources, which they can save if they know their chances of winning are low. LÄS MER