Sökning: "Artificial Neural Networks"

Visar resultat 1 - 5 av 151 uppsatser innehållade orden Artificial Neural Networks.

  1. 1. Drivers’ response in an intersection scenario during manual and automated driving

    H-uppsats, Chalmers tekniska högskola/Institutionen för mekanik och maritima vetenskaper

    Författare :Andrea Floreano; Alessandro Niro; [2018]
    Nyckelord :braking response; critical intersection scenario; driving simulator; semi-automated driving; driver behaviour modelling; artificial neural networks.;

    Sammanfattning : The role of automation is becoming increasingly important in the design of modern vehicles. This is reflected by a large development of advanced driver assistance systems, which are ever more affecting driving behaviour. LÄS MER

  2. 2. Latent variable neural click models for web search

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

    Författare :Henrik Svebrant; [2018]
    Nyckelord :web search; click modeling; machine learning; recurrent neural networks; artificial neural networks;

    Sammanfattning : User click modeling in web search is most commonly done through probabilistic graphical models. Due to the successful use of machine learning techniques in other fields of research, it is interesting to evaluate how machine learning can be applied to click modeling. LÄS MER

  3. 3. Deep learning navigation for UGVs on forests paths

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

    Författare :Linus Lind; [2018]
    Nyckelord :;

    Sammanfattning : Artificial intelligence and machine learning have seen great progress in recent years. In this work, we will look at the application of machine learning in visual navigational systems for unmanned vehicles in natural environments. LÄS MER

  4. 4. Application and Evaluation of Artificial Neural Networks in Solvency Capital Requirement Estimations for Insurance Products

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

    Författare :Mattias Nilsson; Erik Sandberg; [2018]
    Nyckelord :;

    Sammanfattning : The least squares Monte Carlo (LSMC) approach is commonly used in the estimation of the solvency capital requirement (SCR), as a more computationally efficient alternative to a full nested Monte Carlo simulation. This study compares the performance of artificial neural networks (ANNs) to that of the LSMC approach in the estimation of the SCR of various financial portfolios. LÄS MER

  5. 5. Exotic Derivatives and Deep Learning

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

    Författare :Axel Broström; Richard Kristiansson; [2018]
    Nyckelord :;

    Sammanfattning : This thesis investigates the use of Artificial Neural Networks (ANNs)for calculating present values, Value-at-Risk and Expected Shortfall ofoptions, both European call options and more complex rainbow options. Theperformance of the ANN is evaluated by comparing it to a second-order Taylorpolynomial using pre-calculated sensitivities to certain risk-factors. LÄS MER