A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
We propose that bio-inspired algorithms are best developed and analysed in the context of a multidisciplinary conceptual framework that provides for sophisticated biological models...
Susan Stepney, Robert E. Smith, Jonathan Timmis, A...
Most Supervisory Control and Data Acquisition (SCADA) systems have been in operation for decades and they in general have 24x7 availability requirement, hence upgrading or adding ...
Cross-organizational information systems projects, such as ERP, imply an expensive requirements engineering (RE) cycle. Little is known yet about how to carry it out with more pre...
Network coordinate (NC) system is an efficient and scalable system for Internet distance prediction. In this paper, we propose 3 two-layer NC systems HNPS, HBBS and HIDES derived f...
Chengbo Dong, Guodong Wang, Xuan Zhang, Beixing De...