Real-time network traffic management is becoming more and more crucial in Telecommunications. In this paper, we propose a modular system based on neural networks, designed as an aid to the operator, for performing diagnosis at different levels of the network. In particular, we focus on the local diagnosis problem e.g. at the secondary transit centres of a telephone network. Statistical and neur...

In this paper, we propose an evolutionary approach to the design of optimal modular neural network architectures. In this approach, a modular neural network is treated as a phenotype of an individual, and the modular architecture is optimized through the evolution of its genetic representation (genotype) by using genetic algorithms. As one of the modular neural networks, we adopt Cross-Coupled ...

Network mobility (NEMO) basic support protocol maintains the connectivity when mobile router (MR) changes its point of attachment to the Internet by establishing a bidirectional tunnel between MR and Home Agent (HA). However, it results in pin-ball routing and multiple encapsulations especially in the nested NEMO. In order to solve these problems, we propose a simple route optimization scheme f...

This paper suggests the systolic array implementation of block based Hopfield neural network architecture using completely digital circuits. The design is based on rewriting the energy equation of Hopfield neural network to a systolic (or modular) form. The performance of the proposed architecture is evaluated by applying various binary inputs and it is observed that the network provides massiv...

Many of the works conducted on algorithm selection strategies—methods that choose a suitable solving method for particular problem—start from scratch since only few investigations reusable components such methods are found in literature. Additionally, researchers might unintentionally omit some implementation details when documenting strategy. This makes it difficult others to reproduce behavio...

In this thesis, a method is proposed with which good modular artificial neural network structures can be found automatically using a computer program. A number of biological metaphors are incorporated in the method. It will be argued that modular artificial neural networks have a better performance than their non-modular counterparts. The human brain can also be seen as a modular neural network...