Search for dissertations about: "Recurrent neural network"

Showing result 1 - 5 of 39 swedish dissertations containing the words Recurrent neural network.

  2. 1. The use of Bayesian confidence propagation neural network in pharmacovigilance

    Author : Andrew Bate; Umeå universitet; []
    Keywords : adverse drug reactions; pharmacovigilance; signal detection; spontaneous reporting; data mining; Bayesian statistics; BCPNN; neural network; medicinsk farmakologi; Medical Pharmacology;

    Abstract : The WHO database contains more than 2.8 million case reports of suspected adverse drug reactions reported from 70 countries worldwide since 1968. The Uppsala Monitoring Centre maintains and analyses this database for new signals on behalf of the WHO Programme for International Drug Monitoring. READ MORE

  4. 2. On Data Mining and Classification Using a Bayesian Confidence Propagation Neural Network

    Author : Roland Orre; KTH; []
    Keywords : data mining; bcpnn; classification; neural network;

    Abstract : The aim of this thesis is to describe how a statisticallybased neural network technology, here named BCPNN (BayesianConfidence Propagation Neural Network), which may be identifiedby rewriting Bayes' rule, can be used within a fewapplications, data mining and classification with credibilityintervals as well as unsupervised pattern recognition.BCPNN is a neural network model somewhat reminding aboutBayesian decision trees which are often used within artificialintelligence systems. READ MORE

  5. 3. Deciphering the Locomotor Network : The Role of Spinal Cord Interneurons

    Author : Sharn Perry; Klas Kullander; Kimberly Dougherty; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Locomotion; central pattern generator; mouse; gait; recurrent inhibition; Renshaw cell; Dmrt3; Chrna2; Neuroscience; Neurovetenskap;

    Abstract : In the spinal cord, an intricate neural network generates and coordinates the patterning of limb movements during locomotion. This network, known as the locomotor central pattern generator (CPG), comprises of various cell populations that together orchestrate the output of motor neurons. READ MORE

  6. 4. Space Weather Physics: Dynamic Neural Network Studies of Solar Wind-Magnetosphere Coupling

    Author : Jian-Guo Wu; Astronomi - Genomgår omorganisation; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Geophysics; kosmisk kemi; rymdvetenskap; Astronomi; cosmic chemistry; solar wind; space weather; magnetosphere; solar wind-magnetosphere coupling; geomagnetic activity; geomagnetic storms; predictions; modeling; neural networks; space research; Astronomy; physical oceanography; meteorology; Geofysik; fysisk oceanografi; meteorologi; Fysicumarkivet A:1997:Wu;

    Abstract : This thesis presents studies of solar wind-magnetosphere coupling using dynamic neural networks in combination with statistically correlative analysis. The primary contribution of the thesis is dynamic neural network models that can be implemented for near real-time predictions of geomagnetic storms from the solar wind alone. READ MORE

  7. 5. 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