Essays about: "Feed Forward Network"

Showing result 1 - 5 of 66 essays containing the words Feed Forward Network.

  1. 1. Using Social Media and Personality Predictions to Anticipate Startup Success

    University essay from Lunds universitet/Matematisk statistik

    Author : Daniel Stenson; [2023]
    Keywords : Machine Learning; Startup Success Predictions; Founder Personalities; Natural Language Processing; Social Media Analysis; Big 5 Personality Framework; Feed-forward Neural Network; XGBoost.; Mathematics and Statistics;

    Abstract : This thesis explores the potential of integrating predicted founder personalities, based on the Big 5 Personality Framework, into Machine Learning (ML) models to enhance the accuracy of early-stage startup success predictions. Leveraging Natural Language Processing (NLP) techniques, we extracted personality insights from founders' tweets, focusing on US startups funded between 2013 and 2015. READ MORE

  3. 2. USING ARTIFICIAL NETWORKS IN COMPLEX PROBLEMS ANALYSING PARAMETERS INFLUENCE

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Shukri Birol Mehmed; [2023]
    Keywords : Artificial Intelligence AI ; Neural Networks; MLP; Complex Problem; Parameter; Analysis; Football;

    Abstract : Mathematical statistical models are insufficient for describing complex phenomena. In contrast, Artificial Neural Networks (ANNs), have been used across various complex problem domains for solving problems. ANNs can learn complex patterns and capture non-linear relationships between parameters. READ MORE

  4. 3. Correlation between Surface and Tumour Motion in Lung Cancer - including Deep Learning Perspectives

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Caisa Kjellström; [2023]
    Keywords : Medicine and Health Sciences;

    Abstract : Purpose: The purpose of this master thesis was to retrospectively investigate correlation between surface and tumour motion in lung cancer patients, alongside deep learning applications of the results. Additional correlations such as age, tumour volume and anatomical placement of the tumour were also investigated. READ MORE

  5. 4. Detecting Metro Service Disruptions and Predicting their Spillover Effects throughout the Network using GTFS and Large-Scale Vehicle Location Data

    University essay from KTH/Transportplanering

    Author : WeiZhi Michelle Teo; [2023]
    Keywords : ;

    Abstract : One of the top factors that influence commuters’ satisfaction level with public transport is the punctuality of the service. Commuters rely on public transport to get them from their origin to destination on time and any form of delay will incur additional cost to both the commuters as well as the public transport operators. READ MORE

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

    University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

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

    Abstract : 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. READ MORE