Search for dissertations about: "artificial neural networks"

Showing result 11 - 15 of 170 swedish dissertations containing the words artificial neural networks.

  2. 11. Highly parallel computers for artificial neural networks

    Author : Tomas Nordström; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signalbehandling; Signal Processing;

    Abstract : During a number of years the two fields of artificial neural networks (ANNs) and highly parallel computing have both evolved rapidly. In this thesis the possibility of combining these fields is explored, investigating the design and usage of highly parallel computers for ANN calculations. READ MORE

  4. 12. Solar Wind and Geomagnetic Activity - Predictions Using Neural Networks

    Author : Hans Gleisner; Astronomi - Genomgår omorganisation; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Geophysics; kosmisk kemi; rymdvetenskap; magnetosphere; solar wind; space weather; geomagnetic activity; geomagnetism; ring current; auroral electrojet; neural networks; forecasting; Astronomy; space research; Astronomi; cosmic chemistry; physical oceanography; meteorology; Geofysik; fysisk oceanografi; meteorologi; Fysicumarkivet A:2000:Gleisner;

    Abstract : This thesis shows how artificial neural networks (ANNs) can be applied to predict geomagnetic activity from solar-wind data. It introduces and summarizes five papers where development of ANN models are reported, and where predictions of geomagnetic activity are discussed. READ MORE

  5. 13. Artificial neural networks for assessment of patients with suspected acutemyocardial infarction

    Author : Johan Ellenius; Uppsala universitet; []
    Keywords : Medical sciences; Artificial neural network; decision-support systems; transferability; acute myocardial infarction; infarct size; nondiagnostic ECG; myoglobin; CK-MB; MEDICIN OCH VÅRD; MEDICINE; MEDICIN; medicinsk informatik; medicinsk informatik;

    Abstract : An early diagnosis within the first hours after onset of symptoms is essential for the optimal treatment of patients admitted with chest pain of suspected cardiac origin. In the majority of patients, the 12-lead ECG is nondiagnostic on admission. READ MORE

  6. 14. Machine Learning Methods for Image Analysis in Medical Applications, from Alzheimer's Disease, Brain Tumors, to Assisted Living

    Author : Chenjie Ge; Chalmers tekniska högskola; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; convolutional neural networks; Alzheimer s disease detection; machine learning; deep learning; fall detection; glioma subtype classification; generative adversarial networks; recurrent convolutional networks; spiking neural networks; visual prosthesis; semi-supervised learning;

    Abstract : Healthcare has progressed greatly nowadays owing to technological advances, where machine learning plays an important role in processing and analyzing a large amount of medical data. This thesis investigates four healthcare-related issues (Alzheimer's disease detection, glioma classification, human fall detection, and obstacle avoidance in prosthetic vision), where the underlying methodologies are associated with machine learning and computer vision. READ MORE

  7. 15. Neural Network Ensembles and Combinatorial Optimization with Applications in Medicine

    Author : Henrik Haraldsson; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; numerisk analys; machine learning; artificial neural networks; ensemble methods; feature extraction; ECG; combinatorial optimization; mean field annealing; Computer science; numerical analysis; systems; Datalogi; control; system; kontroll; Artificial intelligens; Artificiell intelligens; Fysicumarkivet A:2003:Haraldsson;

    Abstract : Artificial neural network (ANN) and combinatorial optimization algorithms are developed, and applied to the medical domain. A novel method for training an ensemble of ANN is presented, based on random weight updates alternated with replication of networks with low error. READ MORE