Sökning: "artificial neural networks"

Visar resultat 21 - 25 av 173 avhandlingar innehållade orden artificial neural networks.

1. 21. Morphometric and Landscape Feature Analysis with Artificial Neural Networks and SRTM data : Applications in Humid and Arid Environments

   Författare :Amir Houshang Ehsani; Friedrich Quiel; Wolfgang Wagner; KTH; []
   Nyckelord :Self Organizing Map; Neural Network; Morphometric Feature; Landscape; Yardang; Lut Desert; Potential natural vegetation; geoecosystem; Landform; Landsat ETM ; Morphometric Parameters; SRTM; Resolution; Curvatures; DEM.; TECHNOLOGY; TEKNIKVETENSKAP;

   Sammanfattning : This thesis presents a semi-automatic method to analyze morphometric features and landscape elements based on Self Organizing Map (SOM) as an unsupervised Artificial Neural Network algorithm in two completely different environments: 1) the Man and Biosphere Reserve “Eastern Carpathians” (Central Europe) as a complex mountainous humid area and 2) Lut Desert, Iran, a hyper arid region characterized by repetition of wind-eroded features. In 2003, the National Aeronautics and Space Administration (NASA) released the SRTM/ SIR-C band data with 3 arc seconds (approx. LÄS MER

3. 22. Neural soft sensors for combustion quality estimation

   Författare :Nicholas Wickström; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; signal processing; internal combustion engines; modeling; artificial neural networks;

   Sammanfattning : .... LÄS MER

4. 23. Application of artificial neural networks to rock engineering problems

   Författare :Yi Huang; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Mining and Rock Engineering; Gruv- och Berganläggningsteknik;

   Sammanfattning : This thesis is intended to apply artificial neural network models to different rock engineering problems, such as the determination of aggregate quality parameters, rock indentation depth, ore boundaries and ore grades. The thesis deals with attempts at predictions of these various features from factors that are known or assumed to have an influence on them using artificial neural networks. LÄS MER

5. 24. 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

7. 25. Water–fat separation in magnetic resonance imaging and its application in studies of brown adipose tissue

   Författare :Jonathan Andersson; Joel Kullberg; Håkan Ahlström; Mark Lubberink; Kerstin Lagerstrand; Uppsala universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; brown adipose tissue; magnetic resonance imaging; water–fat signal separation; graph-cut; positron emission tomography; 18F-fludeoxyglucose; infrared thermography; machine learning; artificial neural networks; deep learning; convolutional neural networks; Radiology; Radiologi;

   Sammanfattning : Virtually all the magnetic resonance imaging (MRI) signal of a human originates from water and fat molecules. By utilizing the property chemical shift the signal can be separated, creating water- and fat-only images. LÄS MER