Sökning: "parameter learning"

Visar resultat 6 - 10 av 111 avhandlingar innehållade orden parameter learning.

  1. 6. Learning-based Control for 4D Printing and Soft Robotics

    Författare :Qinglei Ji; Lei Feng; Lihui Wang; Xi Vincent Wang; Yong Chen; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; 3D Printing; 4D Printing; Soft Robots; Machine Learning; Reinforcement Learning; Control; Production Engineering; Industriell produktion;

    Sammanfattning : Exploiting novel sensors and actuators made of flexible and smart materials becomes a new trend in robotics research. The studies on the design, production, and control of the new type of robots motivate the research fields of soft robots and 4D printed robots. LÄS MER

  2. 7. Automatic Instance-based Tailoring of Parameter Settings for Metaheuristics

    Författare :Felix Dobslaw; Theo Kanter; Åke Malmberg; Thomas Bartz-Beielstein; Mittuniversitetet; []
    Nyckelord :Algorithm Configuration; Parameter Tuning; Parameter Control; Metaheuristics;

    Sammanfattning : Many industrial problems in various fields, such as logistics, process management, orproduct design, can be formalized and expressed as optimization problems in order tomake them solvable by optimization algorithms. However, solvers that guarantee thefinding of optimal solutions (complete) can in practice be unacceptably slow. LÄS MER

  3. 8. Option Pricing and Bayesian Learning

    Författare :Ola Jönsson; Nationalekonomiska institutionen; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; ekonomisk politik; ekonomiska system; ekonomisk teori; ekonometri; Bayesian learning; Volatility smile; Economics; Polya urn model; economic theory; econometrics; economic systems; Nationalekonomi; economic policy; Finansiering; Financial science;

    Sammanfattning : This thesis consists of three chapters devoted to both empirical and theoretical aspects of option pricing. The first chapter investigates the market for European options on the Swedish OMX index using daily data for the period 1993-2000. LÄS MER

  4. 9. Radar Signal Processing using Artificial Neural Networks

    Författare :Alexander Karlsson; Magnus Jansson; Mikael Hämäläinen; Henrik Holter; Maria Sabrina Greco; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; artificial neural networks; classification; deep learning; detection; parameter estimation; radar; artificiella neuronnät; klassificering; djupinlärning; detektion; parameter estimering; radar; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : This thesis combines radar signal processing, with data driven artificial neuralnetwork (ANN) methods. Signal processing algorithms are often based on modelingassumptions of how the data was formed. In some cases, such models are sufficientfor designing good, or even optimal, solutions. LÄS MER

  5. 10. Learning for safety: Improvements of Swedish authorities’ toolkits for societal resilience

    Författare :Jonas Borell; Ergonomi och aerosolteknologi; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Societal safety; Crisis management; Emergency management; Learning; Evaluation; Exercise; Risk assessment; Safety culture;

    Sammanfattning : This thesis suggests improvements of selected parts of the Swedish authorities’ toolkits for societal safety and crisis management; crisis response evaluations, crisis management exercises and organizational risk assessments. The thesis also explores how visualizations of safety culture data can be used to support safety culture development. LÄS MER