Sökning: "neural networks"

Visar resultat 16 - 20 av 493 avhandlingar innehållade orden neural networks.

1. 16. Radar Signal Processing using Artificial Neural Networks

   Författare :Alexander Karlsson; Magnus Jansson; Mikael Hämäläinen; Henrik Holter; Maria Sabrina Greco; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; artificial neural networks; classification; deep learning; detection; parameter estimation; radar; artificiella neuronnät; klassificering; djupinlärning; detektion; parameter estimering; radar; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : This thesis combines radar signal processing, with data driven artificial neuralnetwork (ANN) methods. Signal processing algorithms are often based on modelingassumptions of how the data was formed. In some cases, such models are sufficientfor designing good, or even optimal, solutions. LÄS MER

3. 17. 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

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

   Författare :Chenjie Ge; Chalmers tekniska högskola; []
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

5. 19. Deep neural networks for electromagnetics applied to optimization and inverse problems

   Författare :Simon Stenmark; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; calibration; optimization; Inverse problems; normalization; deep learning; neural networks;

   Sammanfattning : This thesis explores the possibilities to complement full-wave electromagnetic solvers with fully-connected neural networks. We emphasize problems that must be solved a very large number of times in a limited parameter domain. We present and evaluate the normalization method ForwardNorm. LÄS MER

7. 20. 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