Sökning: "learning loop"

Visar resultat 1 - 5 av 68 avhandlingar innehållade orden learning loop.

  1. 1. Learning in the Loop : On Neural Network-based Model Predictive Control and Cooperative System Identification

    Författare :Rebecka Winqvist; Bo Wahlberg; Cristian R. Rojas; Axel Ringh; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Learning; Model Predictive Control; System Identification; Optimal Transport; Inlärning; Modellprediktiv reglering; Systemidentifiering; Optimal transport; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Inom reglerteknik har integrationen av maskininlärningsmetoder framträtt som en central strategi för att förbättra prestanda och adaptivitet hos styrsystem. Betydande framsteg har gjorts inom flera viktiga aspekter av reglerkretsen, såsom inlärningsbaserade metoder för systemidentifiering och parameterskattning, filtrering och brusreducering samt reglersyntes. LÄS MER

  2. 2. Approaches to Interactive Online Machine Learning

    Författare :Agnes Tegen; Paul Davidsson; Jan A. Persson; Henrik Boström; Malmö universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Interactive Machine Learning; Online Learning; Active Learning; Machine Teaching;

    Sammanfattning : With the Internet of Things paradigm, the data generated by the rapidly increasing number of connected devices lead to new possibilities, such as using machine learning for activity recognition in smart environments. However, it also introduces several challenges. LÄS MER

  3. 3. Interactive Online Machine Learning

    Författare :Agnes Tegen; Paul Davidsson; Jan A. Persson; Georg Krempl; Malmö universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Interactive Machine Learning; Active Learning; Machine Teaching; Online Learning;

    Sammanfattning : With the Internet of Things paradigm, the data generated by the rapidly increasing number of connected devices lead to new possibilities, such as using machine learning for activity recognition in smart environments. However, it also introduces several challenges. The sensors of different devices might be mobile and of different types, i.e. LÄS MER

  4. 4. A Possible World: Autism from Practice to Theory

    Författare :Petra Zücker Björne; Kognitionsvetenskap; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Psychopedagogy; Utvecklingspsykologi; Development psychology; Psykologi; Psychology; pedagogical intervention; categorization; context; sensorimotor disturbances; autism; developmental theory; Pedagogisk psykologi;

    Sammanfattning : Persons with autism develop along trajectories that differ from the typical. Therefore, development itself gives important clues for understanding the behavioral profile characteristic of autism. Developing autism means being different, not necessarily being deficient. LÄS MER

  5. 5. On Deep Machine Learning Based Techniques for Electric Power Systems

    Författare :Ebrahim Balouji; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deep Learning; Cable faults; phase locked loop; Flicker; Harmonics and Interharmonics; Reinforcement learning; Voltage Dip; Active Power filter; Machine Learning; Voltage fluctuation; Partial Discharges;

    Sammanfattning : This thesis provides deep machine learning-based solutions to real-time mitigation of power quality disturbances such as flicker, voltage dips, frequency deviations, harmonics, and interharmonics using active power filters (APF). In an APF the processing delays reduce the performance when the disturbance to be mitigated is tima varying. LÄS MER