—Network-on-Chip (NoC) has been proposed as an attractive alternative to traditional dedicated wires to achieve high performance and modularity. Power efficiency is one of the mo...
Dara Rahmati, Abbas Eslami Kiasari, Shaahin Hessab...
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
This paper presents the artificial intelligence techniques to control a proton exchange membrane fuel cell system process using particularly a methodology of dynamic neural networ...
Youssef M. ElSayed, Moataz H. Khalil, Khairia E. A...
Recently the notion of power law networks in the context of neural networks has gathered considerable attention. Some empirical results show that functional correlation networks in...
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada,...