Sökning: "nonlinear regression algorithm"

Hittade 4 uppsatser innehållade orden nonlinear regression algorithm.

  1. 1. Bank risk analysis with machine learning

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Viet Vu; Mariaguadaloppe Farah; [2021]
    Nyckelord :;

    Sammanfattning : Nowadays, the time and resources needed to get an accurate estima-tion of a client’s ability to pay back a loan has gone up. With theamount of data complexity it involves to do the credit risk analysis, the machine learning technique has been used to ease the process. LÄS MER

  2. 2. Topological recursive fitting trees : A framework for interpretable regression extending decision trees

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Alexandre Tadros; [2020]
    Nyckelord :;

    Sammanfattning : Many real-world machine learning applications need interpretation of an algorithm output. The simplicity of some of the most fundamental machine learning algorithms for regression, such as linear regression or decision trees, facilitates interpretation. However, they fall short when facing complex (e.g. LÄS MER

  3. 3. Automatic Flight Maneuver Identification Using Machine Learning Methods

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Camilla Bodin; [2020]
    Nyckelord :Flight; Aircraft; Machine Learning; Flight Dynamics; Classification; Supervised Learning; Support Vector Machines; Neural Networks; Logistic Regression; Feature Selection; Recursive Feature Elimination; Feature Representation; k-fold cross-validation; maneuvers; flight maneuvers;

    Sammanfattning : This thesis proposes a general approach to solve the offline flight-maneuver identification problem using machine learning methods. The purpose of the study was to provide means for the aircraft professionals at the flight test and verification department of Saab Aeronautics to automate the procedure of analyzing flight test data. LÄS MER

  4. 4. Developing a web-based system to visualize vegetation trends by a nonlinear regression algorithm

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Yufei Wei; [2016]
    Nyckelord :PolyTrend; nonlinear regression algorithm; vegetation trends; Physical Geography and Ecosystem Analysis; NDVI; Web Development; Django; MATLAB; Python; Earth and Environmental Sciences;

    Sammanfattning : Comparing with traditional linear regression methods that used to monitor vegetation trends, a nonlinear regression algorithm (PolyTrend) developed by Jamali et al. (2014) can provide more accurate information of vegetation trends by fitting a polynomial line with a degree of up to three for ASCII-formed time-series NDVI (Normalized Difference Vegetation Index) dataset of a single pixel. LÄS MER