Progress in Neural Networks, Volume Six

Neural network applications have had tremendous growth in the last few years, and pattern recognition played a key role in many areas. One of the more focused areas is shape recognition.

The purpose of this book is to provide the reader with a fresh perspective on the research. While "Volume 6" in the series should not be construed as an exhaustive collection of the work that has taken place, it represents some of the mainstream works with some international flavor. The shape recognition problem is addressed from several different perspectives here, to show that the theoretical discoveries in neural networks have a profound effect on the broadening of applications.

This long-standing series reviews current research in natural and synthetic networks as well as reviewing state-of-the-art research in modelling, analysis, design, and development of neural networks in software and hardware areas. The contributions from leading researchers and practitioners shape academic and professional programs in this area, and serve as a platform for detailed and expanded discussion of topics of interest to the neural network and cognitive information processing communities. This is directly aimed at those professionally involved in networks research, such as lecturers and primary investigators in neural computing, learning, and memory.