Sökning: "neurala nätverk"

Visar resultat 1 - 5 av 292 uppsatser innehållade orden neurala nätverk.

  1. 1. Machine Learning Based Prediction and Classification for Uplift Modeling

    Master-uppsats, KTH/Matematisk statistik; KTH/Matematisk statistik

    Författare :Lovisa Börthas; Jessica Krange Sjölander; [2020]
    Nyckelord :Uplift Modeling; Data Pre-Processing; Predictive Modeling; Incremental Modeling; Random Forests; Logistic Regression; Neural Networks; Ensemble Methods; Machine Learning; Multi-Layer Perceptron; Inkrementell responsanalys; databehandling; prediktiv modellering; random forests; logistisk regression; neurala nätverk; mulit-layer perceptron; ensemble metoder; maskininlärning;

    Sammanfattning : The desire to model the true gain from targeting an individual in marketing purposes has lead to the common use of uplift modeling. Uplift modeling requires the existence of a treatment group as well as a control group and the objective hence becomes estimating the difference between the success probabilities in the two groups. LÄS MER

  2. 2. Applicering av Long Short-Term Memory för prediktion av markdeformation på svensk järnväg : Utveckling av ett artificiellt neuralt nätverk för prediktion av kommande marksättningar på järnvägssträckan mellan Mölndal och Torrekulla

    Kandidat-uppsats, Högskolan Dalarna/Informatik; Högskolan Dalarna/Informatik

    Författare :William Wirsén; Martin Leijon; [2020]
    Nyckelord :Artificiell intelligens; artificial neural network; Long Short-Term Memory; InSAR; land subsidence; Recurrent Neural Network; Artificiell intelligens; artificiellt neurala nätverk; Long Short-Term Memory; InSAR; markdeformering; Recurrent Neural Network;

    Sammanfattning : The purpose of this study is to evaluate whether it is possible to predict future land subsidence on the railway line between Mölndal and Torrekulla. The prediction was made using Long Short-Term Memory; an artificial neural network with RNN architecture. LÄS MER

  3. 3. Maskininlärning för diagnosticering av perifer neuropati

    Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Margareta Carlerös; Nina Malmqvist; Josefin Nilsson; Fredrik Skärberg; [2019-07-02]
    Nyckelord :Klassificering; AI; Statistiskinlärning; k-NN; Slumpmässig skog; Neurala nätverk; Medicinsk diagnostik; Dynamiskt Svettest;

    Sammanfattning : This report investigates the possibility of diagnosing peripheral neuropathy with the help ofnon-parametic classification methods. Peripheral neuropathy is a disease state characterizedby damage on the nerves furthest out in the nervous system, with symptoms first occuring inthe feet. The data used in this project comes from Dr. LÄS MER

  4. 4. Malignant Melanoma Classification with Deep Learning

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Jakob Kisselgof; [2019]
    Nyckelord :Melanoma classification deep learning;

    Sammanfattning : Malignant melanoma is the deadliest form of skin cancer. If correctly diagnosed in time, the expected five-year survival rate can increase up to 97 %. Therefore, exploring various methods for early detection can contribute with tools which can be used to improve detection of disease and finally to make sure that help is given in time. LÄS MER

  5. 5. Providing Mass Context to a Pretrained Deep Convolutional Neural Network for Breast Mass Classification

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

    Författare :Lovisa Montelius; George Rezkalla; [2019]
    Nyckelord :Deep learning; Convolutional neural network; Transfer learning; Computer-aided diagnosis; Breast cancer; Breast mass classification; Breast mass context; ;

    Sammanfattning : Breast cancer is one of the most common cancers among women in the world, and the average error rate among radiologists during diagnosis is 30%. Computer-aided medical diagnosis aims to assist doctors by giving them a second opinion, thus decreasing the error rate. LÄS MER