By Topic

11th Symposium on Neural Network Applications in Electrical Engineering

20-22 Sept. 2012

Filter Results

Displaying Results 1 - 25 of 101
  • [Front cover]

    Publication Year: 2012, Page(s):c1 - c4
    Request permission for commercial reuse | PDF file iconPDF (379 KB)
    Freely Available from IEEE
  • [Title page]

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (2854 KB)
    Freely Available from IEEE
  • Organizing Committee

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (121 KB)
    Freely Available from IEEE
  • Foreword

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (133 KB) | HTML iconHTML
    Freely Available from IEEE
  • [Copyright notice]

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (73 KB)
    Freely Available from IEEE
  • Table of contents

    Publication Year: 2012, Page(s):1 - 4
    Request permission for commercial reuse | PDF file iconPDF (113 KB)
    Freely Available from IEEE
  • CAS-SP and CI joint meeting SP society distinguished lecture: Joint blind source separation: Applications in medical image analysis

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (47 KB)
    Freely Available from IEEE
  • [Blank page]

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (8 KB)
    Freely Available from IEEE
  • Joint blind source separation: Applications in medical image analysis

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (120 KB) | HTML iconHTML

    Summary form only given. Blind source separation (BSS) is based on a simple generative model and hence minimizes the assumptions on the nature of data. It provides a promising alternative to the traditional model-based approaches in many applications where the underlying dynamics are hard to characterize. Independent component analysis (ICA), in particular, has been a popular BSS approach and an a... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • [Blank page]

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (8 KB)
    Freely Available from IEEE
  • Plenary lecture 1: Cooperative networked systems

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (41 KB)
    Freely Available from IEEE
  • [Blank page]

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (8 KB)
    Freely Available from IEEE
  • Cooperative networked systems

    Publication Year: 2012, Page(s): 3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (133 KB) | HTML iconHTML

    Complexity. Complex systems. Emergence: examples. Swarm intelligence. Ant colony and particle swarm optimization: applications. Stigmergy. Adaptation. Autopoiesis. Multi-agent systems. Graph representation: Laplacian. Flocking: examples from computer, communication, and control sciences. Cooperation in multi agent systems. Decentralized vs. centralized decision making. Networked systems. Cyber-phy... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • [Blank page]

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (8 KB)
    Freely Available from IEEE
  • Regular session 1: Neural networks for estimation and feature extraction

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (44 KB)
    Freely Available from IEEE
  • [Blank page]

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (8 KB)
    Freely Available from IEEE
  • Application of neural networks in spatial signal processing (invited paper)

    Publication Year: 2012, Page(s):5 - 14
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (599 KB) | HTML iconHTML

    Neural networks (NNs) have proven to be a very powerful tool both for one-dimensional (1D) and two-dimensional (2D) direction of arrival (DOA) estimation. By avoiding complex and time-consuming mathematical calculations, NNs estimate DOAs almost instantaneously. This feature makes them very convenient for real-time applications. Further, unlike the well known MUSIC algorithm, neural network-based ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Empirical ANN models for 2D direction of arrival estimation

    Publication Year: 2012, Page(s):15 - 19
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (463 KB) | HTML iconHTML

    Empirical Artificial Neural Network (ANN) models are developed for Two-Dimensional Direction of Arrival (2D DOA) estimation of a source signal. For that purpose, experimental data obtained from measurements in an anechoic chamber are utilized. Performance of ANN models are compared to 2D MUSIC algorithm in regard to estimation accuracy and speed of calculations. It is demonstrated that the propose... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • [Blank page]

    Publication Year: 2012, Page(s): 1
    Request permission for commercial reuse | PDF file iconPDF (8 KB)
    Freely Available from IEEE
  • Comparison of neural networks for solving the travelling salesman problem

    Publication Year: 2012, Page(s):21 - 24
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (198 KB) | HTML iconHTML

    The TSP deals with finding a shortest path through a number of cities. This seemingly simple problem is hard to solve because of the amount of possible solutions. Which is why methods that give a good suboptimal solution in a reasonable time are generally used. In this paper three methods were compared with respect to quality of solution and ease of finding correct parameters: the Integer Linear P... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Modified SOM based intelligent semi-autonomous navigation system

    Publication Year: 2012, Page(s):25 - 29
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (531 KB) | HTML iconHTML

    The fundamental problem in today's world when robots are becoming a part of daily routine is getting them to move from one desired place to another without any problem and collision. In doing so a robot needs to perceive its environment to efficiently navigate through it. The navigation is possible only if the robot differentiates between different scenarios around it in real time. In this paper w... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • [Blank page]

    Publication Year: 2012, Page(s): 30
    Request permission for commercial reuse | PDF file iconPDF (8 KB)
    Freely Available from IEEE
  • Neural approaches for parameter extraction of microwave transistor noise models

    Publication Year: 2012, Page(s):31 - 34
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (423 KB) | HTML iconHTML

    The aim of this paper is to analyze and compare two artificial neural network based approaches for parameter extractions of microwave transistor equivalent circuits including noise. In the first approach equivalent circuit parameters are determined from the operating conditions, whereas in the second approach equivalent circuit parameters are determined directly from the measured scattering and no... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Coherent oscillations in minimal neural network of excitable systems induced by noise and influenced by time delay

    Publication Year: 2012, Page(s):35 - 39
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB) | HTML iconHTML

    Influence of small time-delays in coupling between noisy excitable systems on the coherence resonance and self-induced stochastic resonance is studied. Parameters of delayed coupled deterministic excitable units are chosen such that the system has only one attractor, namely the stationary state, for any value of the coupling and the time-lag. Addition of white noise induces qualitatively different... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • [Blank page]

    Publication Year: 2012, Page(s): 40
    Request permission for commercial reuse | PDF file iconPDF (8 KB)
    Freely Available from IEEE