Neural Networks and Artificial Intelligence

1. Front Matter

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2. Forrest Resource Management (Plenary Session)

   1. Living in Harmony with Nature: Forest and “Satoyama” in Japan

      • Koji Nakamura

      Pages 1-4

   2. Ecological and Economical Aspects of Felling with Use of Multi-operational Felling Machines and Machinery

      • Marina V. Levkovskaya, Vladimir V. Sarnatsky

      Pages 5-8

   3. A Literature Review: Forest Management with Neural Network and Artificial Intelligence

      • Akira Imada

      Pages 9-21

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

4. Optimization

   1. Multi Objective Optimization of Trajectory Planning of Non-holonomic Mobile Robot in Dynamic Environment Using Enhanced GA by Fuzzy Motion Control and A*

      • Bashra Kadhim Oleiwi, Rami Al-Jarrah, Hubert Roth, Bahaa I. Kazem

      Pages 34-49

   2. Multi Objective Optimization of Path and Trajectory Planning for Non-holonomic Mobile Robot Using Enhanced Genetic Algorithm

      • Bashra Kadhim Oleiwi, Hubert Roth, Bahaa I. Kazem

      Pages 50-62

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

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.

• artificial intelligence
• classification
• computing methodologies
• forest resource management
• fuzzy approaches
• machine learning
• mobile robots
• neural networks
• optimization
• robotics

• Brest State Technical University, Brest, Belarus

  Vladimir Golovko, Akira Imada

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