Cellular Neural Networks (CNN's) were introduced in 1988 by L O Chua and L Yang as a novel class of information processing systems, which possesses some of the key features of Neural Networks and which has important potential applications in such areas as image processing and pattern recognition. Many complex computational problems can be formulated, as well-defined tasks where the signal values are placed on a regular geometric 2-D or 3-D grid, and the direct interaction between signal values are limited within a finite local neighbourhood. CNN is an analogue dynamic processor array, which...

The book constitutes the proceedings of the 23rd International Conference on Artificial Neural Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013. The 78 papers included in the proceedings were carefully reviewed and selected from 128 submissions. The focus of the papers is on following topics: neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence.

The European Computing Conference offers a unique forum for establishing new collaborations. This volume presents a collection of papers covering recent advances in computer engineering, systems theory, and computational methods.