Sökning: "modulär modellering"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden modulär modellering.

  1. 1. Regression with Bayesian Confidence Propagating Neural Networks

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

    Författare :Raghav Rajendran Bongole; [2023]
    Nyckelord :Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

    Sammanfattning : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. LÄS MER

  3. 2. Modellering, simulering och analys av kärnreaktorn BWRX-300

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Tillämpad kärnfysik

    Författare :Erik Backlund; [2023]
    Nyckelord :Kärnkraft; SMR; små modulära reaktorer; liten modulär reaktor; kärnreaktor; BWR; BWRX-300; självcirkulation; passiv säkerhet; GE Hitachi; cykellängd; härddesign; nukleär design; Simulate5; GNF2; kärnbränsle; reaktormodell;

    Sammanfattning : The demand for fossil-free energy production is rising due to electrification and increased consumption in the energy system. There are also multiple climate goals to reach, to preserve the possibilities of a sustainable future. LÄS MER

  4. 3. Modelling of electric transients in 24 V power supply systems for commercial vehicles

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

    Författare :Ajay Ajay; [2023]
    Nyckelord :;

    Sammanfattning : Technology is revolutionising every aspect of modern-day transport and evolving rapidly. The traditional electric system of vehicles produced by SCANIA uses a 24 V DC bus system to provide power and ground to all connected electrical units. LÄS MER

  5. 4. Inverse Uncertainty Quantification for Sounding Rocket Dispersion

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Tove Ågren; [2022]
    Nyckelord :Uncertainty quantification; Bayesian inference; Rocket dispersion; Neural networks; Markov Chain Monte Carlo.; Osäkerhetskvantifiering; Bayesiansk inferens; Raketspridning; Neurala nätverk; Markovkedje-Monte Carlo;

    Sammanfattning : Sounding rocket impact points are subject to dispersion due to uncertainties in simulation model parameters and perturbations of the rocket trajectory during flight. Estimating the area of dispersion assumes that associated model uncertainties and magnitude of perturbations have already been inferred. LÄS MER

  7. 5. Modelling Parallel Stochastic-Time Systems Using Timed and Synchronous Layers : Introducing the Parallel Stochastic Timed State Machine

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

    Författare :Anton Hampus; [2022]
    Nyckelord :;

    Sammanfattning : In the development phase of real-world cyper-physical systems, modelling and analysis often plays a vital role. For instance, before a new system is produced and deployed, questions such as ‘what is the probability that the system will fail within its lifetime?’ must be answered. LÄS MER