This special issue will address novel developments in random neural network-based modelling methods, their analysis and learning algorithms, and applications in computer science and optimisation, distributed systems and networks and bioinformatics.
Suitable topics include but are not limited to:
- New mathematical developments concerning the random neural network (RNN) and related mathematical models such as G-networks
- Analytical solutions for RNN- and G-network-based methods
- Efficient numerical solution techniques for the RNN and G-networks
- Mapping G-networks into optimisation problems
- G-network models in bioinformatics
- Novel learning algorithms for G-networks and the RNN
- Application of the RNN to network routing
- RNN applications to hard combinatorial optimisation problems
- Managing distributed systems with RNN-based techniques
Submission of manuscripts: 1 March, 2013
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