Developments in Applied Artificial Intelligence

1. Front Matter

   Pages I-XIII

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2. Neural Networks 1

   1. An Error Back-Propagation Artificial Neural Networks Application in Automatic Car License Plate Recognition

      • Demetrios Michalopoulos, Chih-Kang Hu

      Pages 1-8

   2. Use of Artificial Neural Networks for Buffet Loads Prediction

      • Oleg Levinski

      Pages 9-16

   3. Computational Cost Reduction by Selective Attention for Fast Speaker Adaptation in Multilayer Perceptron

      • In-Cheol Kim, Sung-Il Chien

      Pages 17-24

   4. A Comparison of Neural Networks with Time Series Models for Forecasting Returns on a Stock Market Index

      • Juliana Yim

      Pages 25-35

3. Image/Speech 1

   1. Automatic Detection of Film Orientation with Support Vector Machines

      • Dane Walsh, Christian Omlin

      Pages 36-46

   2. A Generic Approach for the Vietnamese Handwritten and Speech Recognition Problems

      • Vu Hai Quan, Pham Nam Trung, Nguyen Duc Hoang Ha, Lam Tri Tin, Hoang Kiem, An H. Nguyen

      Pages 47-56

   3. Efficient and Automatic Faces Detection Based on Skin-Tone and Neural Network Model

      • Bae-Ho Lee, Kwang-Hee Kim, Yonggwan Won, Jiseung Nam

      Pages 57-66

   4. Efficient Image Segmentation Based on Wavelet and Watersheds for Video Objects Extraction

      • Jong-Bae Kim, Hang-Joon Kim

      Pages 67-76

4. Evolutionary and Genetic Algorithms 1

   1. FPGA-Based Implementation of Genetic Algorithm for the Traveling Salesman Problem and Its Industrial Application

      • Iouliia Skliarova, António B. Ferrari

      Pages 77-87

   2. Minimal Addition Chain for Efficient Modular Exponentiation Using Genetic Algorithms

      • Nadia Nedjah, Luiza de Macedo Mourelle

      Pages 88-98

   3. An Evolutionary Algorithm for the Synthesis of RAM-Based FSMs

      • Valery Sklyarov

      Pages 108-118

   4. Genetic Algorithms for Design of Liquid Retaining Structure

      • K. W. Chau, F. Albermani

      Pages 119-128

5. Autonomous Agents

   1. Modelling Crew Assistants with Multi-Agent Systems in Fighter Aircraft

      • Arjen Vollebregt, Daan Hannessen, Henk Hesselink, Jelle Beetstra

      Pages 129-135

   2. Learning from Human Decision-Making Behaviors — An Application to RoboCup Software Agents

      • Ruck Thawonmas, Junichiro Hirayama, Fumiaki Takeda

      Pages 136-146

   3. Distributed Deadlock Detection in Mobile Agent Systems

      • Bruce Ashfield, Dwight Deugo, Franz Oppacher, Tony White

      Pages 146-156

   4. An Agent-Based Approach for Production Control Incorporating Environmental and Life-Cycle Issues, together with Sensitivity Analysis

      • Elisabeth Ilie Zudor, László Monostori

      Pages 157-167

   5. Feasibility Restoration for Iterative Meta-heuristics Search Algorithms

      • Marcus Randall

      Pages 168-178

6. Best Paper Candidates 1

   1. Optimization of Pulse Pattern for a Multi-robot Sonar System Using Genetic Algorithm

      • George Nyauma Nyakoe, Makoto Ohki, Suichiro Tabuchi, Masaaki Ohkita

      Pages 179-189

   2. The Suitability of Particle Swarm Optimisation for Training Neural Hardware

      • David Braendler, Tim Hendtlass

      Pages 190-199

Arti?cial Intelligence is a ?eld with a long history, which is still very much active and developing today. Developments of new and improved techniques, together with the ever-increasing levels of available computing resources, are fueling an increasing spread of AI applications. These applications, as well as providing the economic rationale for the research, also provide the impetus to further improve the performance of our techniques. This further improvement today is most likely to come from an understanding of the ways our systems work, and therefore of their limitations, rather than from ideas ‘borrowed’ from biology. From this understanding comes improvement; from improvement comes further application; from further application comes the opportunity to further understand the limitations, and so the cycle repeats itself inde?nitely. In this volume are papers on a wide range of topics; some describe appli- tions that are only possible as a result of recent developments, others describe new developments only just being moved into practical application. All the - pers re?ect the way this ?eld continues to drive forward. This conference is the 15th in an unbroken series of annual conferences on Industrial and Engineering Application of Arti?cial Intelligence and Expert Systems organized under the auspices of the International Society of Applied Intelligence.

• Artificial intelligence
• Processing
• agents
• algorithms
• autonomous agents
• evolution
• expert system
• genetic algorithm
• genetic algorithms
• intelligence
• knowledge
• speech processing
• algorithm analysis and problem complexity

• Centre for Intelligent Systems and Complex Processes, Swinburne University of Technology, Hawthorn, Australia

  Tim Hendtlass

• Department of Computer Science, Southwest Texas State University, San Marcos, USA

  Moonis Ali

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