Sökning: "Artificiella Neurala Nätverk"

Visar resultat 1 - 5 av 21 avhandlingar innehållade orden Artificiella Neurala Nätverk.

  1. 1. Neural networks in context: challenges and opportunities : a critical inquiry into prerequisites for user trust in decisions promoted by neural networks

    Författare :Lars Holmberg; Paul Davidsson; Per Linde; Carl Magnus Olsson; Maria Riveiro; Malmö universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Explainable AI; Machine Learning; Neural Network; Concept; Generalisation; Out-of-Distribution; Förklaringsbar AI; Maskininlärning; Neurala Nätverk; Koncept; Generalisering; Utanför-distributionen;

    Sammanfattning : Artificial intelligence and machine learning (ML) in particular increasingly impact human life by creating value from collected data. This assetisation affects all aspectsof human life, from choosing a significant other to recommending a product for us to consume. LÄS MER

  3. 2. Input Calibration, Code Validation and Surrogate Model Development for Analysis of Two-phase Circulation Instability and Core Relocation Phenomena

    Författare :Viet-Anh Phung; Pavel Kudinov; Cristophe Demaziere; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Reactor system code; input calibration; code validation; surrogate model; two-phase circulation flow instability; in-vessel core relocation; genetic algorithm; artificial neural network; Reaktorsystemkod; indata kalibrering; kodvalidering; surrogatmodell; två-fas cirkulationsflöde; instabilitet; härdrelokering i reaktortanken; genetisk algoritm; artificiella neurala nätverk; Fysik; Physics;

    Sammanfattning : Code validation and uncertainty quantification are important tasks in nuclear reactor safety analysis. Code users have to deal with large number of uncertain parameters, complex multi-physics, multi-dimensional and multi-scale phenomena. LÄS MER

  4. 3. Analysis of Electrocardiograms Using Artificial Neural Networks

    Författare :Bo Hedén; Lund Klinisk fysiologi; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; tomography; radiology; Clinical physics; Lead reversal.; Myocardial infarction; Computer-assisted; Expert system; Electrocardiography; ECG-diagnosis; medical instrumentation; Klinisk fysiologi; radiologi; tomografi; medicinsk instrumentering;

    Sammanfattning : Most conventional ECG interpretation programs use decision tree logic for interpretation of the ECG. The performance is generally good but can be improved. Artificial neural networks represent a new computer method, which has proved to be of value in pattern recognition and classification tasks. LÄS MER

  5. 4. Improving diagnosis of acute coronary syndromes in an emergency setting: A machine learning approach

    Författare :Michael Green; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; ensemble; artificial neural network; machine learning; acute coronary syndrome; electrocardiogram; case based explanation; decision support system;

    Sammanfattning : Acute coronary syndrome (ACS) is the biggest people killer in the western world today. Despite well trained physicians and reliable diagnostic tools, diagnosing ACS early in the emergency departments (ED) remains a challenge. LÄS MER

  7. 5. On learning in mice and machines : continuous population codes in natural and artificial neural networks

    Författare :Emil Wärnberg; Konstantinos Meletis; Arvind Kumar; Gilad Silberberg; Mark Humphries; KTH; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Biotechnology; Bioteknologi; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics;

    Sammanfattning : Neural networks, whether artificial in a computer or natural in the brain, could represent information either using discrete symbols or continuous vector spaces. In this thesis, I explore how neural networks can represent continuous vector spaces, using both simulated neural networks and analysis of real neural population data recorded from mice. LÄS MER