Sökning: "self-organizing neural networks"

Visar resultat 1 - 5 av 15 avhandlingar innehållade orden self-organizing neural networks.

1. 1. Artificial neural networks : applications in morphometric and landscape features analysis

   Författare :Amir Houshang Ehsani; Fredrich Quiel; Wolter Arnberg; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Environmental engineering; Miljöteknik;

   Sammanfattning : In this thesis a semi-automatic method is developed to analyze morphometric features and landscape elements based on Self Organizing Map (SOM) as a unsupervised Artificial Neural Network algorithm. Analysis and parameterization of topography into simple and homogenous land elements (landform) can play an important role as basic information in planning processes and environmental modeling. LÄS MER

3. 2. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs)

   Författare :Aman Mohammad Kalteh; Avdelningen för Teknisk vattenresurslära; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Hydrogeology; geographical and geological engineering; Hydrogeologi; teknisk geologi; teknisk geografi; Self-organizing map; Feed-forward multilayer perceptron; Forecasting; Hydrological modelling; Missing values; Rainfall-runoff modelling; Estimation; Artificial neural networks;

   Sammanfattning : Over the last decades or so, artificial neural networks (ANNs) have become one of the most promising tools for modelling hydrological processes such as rainfall-runoff processes. In most studies, ANNs have been demonstrated to show superior result compared to the traditional modelling approaches. LÄS MER

4. 3. Selection schemes and neural networks in adaptive real-time control : predictive simulation adaptive control

   Författare :Anders Zachrison; Linköpings universitet; []
   Nyckelord :Adaptive Control; Real-Time; Self-Organizing Feature Maps; Pneumatic; Neural Networks; Evolutionary Algorithms; TECHNOLOGY; TEKNIKVETENSKAP;

   Sammanfattning : The vision of self-aware machines was the starting point of this work. The idea is a machine having knowledge about itself and its surrounding environment, being able to react to changes in the environment. LÄS MER

5. 4. 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

7. 5. Modelling the offset lithographic printing process

   Författare :Cristofer Englund; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Neural networks; Self-organizing map; Data mining; Outlier detection; Leverages; Committee; Adaptive modelling; Image analysis; Bildanalys;

   Sammanfattning : A concept for data management and adaptive modelling of the offset lithographic printing process is proposed. Artificial neural networks built from historical process data are used to model the offset printing process aiming to develop tools for online ink flow control. LÄS MER