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Neural Networks and Artificial Intelligence

8th International Conference, ICNNAI 2014, Brest, Belarus, June 3-6, 2014. Proceedings

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Vladimir Golovko

    1. Brest State Technical University, Brest, Belarus

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  2. Akira Imada

    1. Brest State Technical University, Brest, Belarus

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 440)

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Conference proceedings info: ICNNAI 2014.

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About this book

This book constitutes the refereed proceedings of the 8th International Conference on Neural Networks and Artificial Intelligence, ICNNAI 2014, held in Brest, Belarus, in June 2014. The 19 revised full papers presented were carefully reviewed and selected from 27 submissions. The papers are organized in topical sections on forest resource management; artificial intelligence by neural networks; optimization; classification; fuzzy approach; machine intelligence; analytical approach; mobile robot; real world application.

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Table of contents (19 papers)

  1. Front Matter

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  3. Artificial Intelligence by Neural Networks (Round Table Discussion)

    1. Can Artiticial Neural Networks Evolve to be Intelligent Like Human?

      • Akira Imada
      Pages 22-33

  5. Classification

    1. New Procedures of Pattern Classification for Vibration-Based Diagnostics via Neural Network

      • Nicholas Nechval, Konstantin Nechval, Irina Bausova
      Pages 63-75

    2. Graph Neural Networks for 3D Bravais Lattices Classification

      • Aleksy Barcz, Stanisław Jankowski
      Pages 76-86

  6. Fuzzy Approach

    1. Quality Evaluation of E-commerce Sites Based on Adaptive Neural Fuzzy Inference System

      • Huan Liu, Viktor V. Krasnoproshin
      Pages 87-97

    2. Visual Fuzzy Control for Blimp Robot to Follow 3D Aerial Object

      • Rami Al-Jarrah, Hubert Roth
      Pages 98-111

  7. Machine Intelligence

    1. At Odds with Curious Cats, Curious Robots Acquire Human-Like Intelligence

      • Dominik M. Ramík, Kurosh Madani, Christophe Sabourin
      Pages 112-123

    2. A Statistical Approach to Human-Like Visual Attention and Saliency Detection for Robot Vision: Application to Wildland Fires’ Detection

      • Viachaslau Kachurka, Kurosh Madani, Christophe Sabourin, Vladimir Golovko
      Pages 124-135

  8. Analytical Approach

    1. A Learning Technique for Deep Belief Neural Networks

      • Vladimir Golovko, Aliaksandr Kroshchanka, Uladzimir Rubanau, Stanisław Jankowski
      Pages 136-146

    2. Modeling Engineering-Geological Layers by k-nn and Neural Networks

      • Stanisław Jankowski, Alesia Hrechka, Zbigniew Szymański, Grzegorz Ryżyński
      Pages 147-158

    3. A Hybrid Genetic Algorithm and Radial Basis Function NEAT

      • Heman Mohabeer, K. M. Sunjiv Soyjaudah
      Pages 159-170

  9. Mobile Robot

    1. A Multi-agent Efficient Control System for a Production Mobile Robot

      • Uladzimir Dziomin, Anton Kabysh, Vladimir Golovko, Ralf Stetter
      Pages 171-181

    2. A Low-Cost Mobile Robot for Education

      • Valery Kasyanik, Sergey Potapchuk
      Pages 182-190

  10. Real World Application

    1. Data-Driven Method for High Level Rendering Pipeline Construction

      • Victor Krasnoproshin, Dzmitry Mazouka
      Pages 191-200

    2. Efficiency of Parallel Large-Scale Two-Layered MLP Training on Many-Core System

      • Volodymyr Turchenko, Anatoly Sachenko
      Pages 201-210
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Other volumes

  1. Neural Networks and Artificial Intelligence

Editors and Affiliations

  • Brest State Technical University, Brest, Belarus

    Vladimir Golovko, Akira Imada

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