—Models of regulatory networks become more difficult to construct and understand as they grow in size and complexity. Large models are usually built up from smaller models, repre...
Ranjit Randhawa, Clifford A. Shaffer, John J. Tyso...
Geo-sciences involve large-scale parallel models, high resolution real time data from highly asynchronous and heterogeneous sensor networks and instruments, and complex analysis a...
Measurement of network traffic is a fundamental issue to manage the network itself. The highly selfsimilar nature of IP traffic makes its measurement and profiling a very complex ...
The workload of a network is usually a heterogeneous aggregate of services and applications, driven by a large number of users. This complexity makes it challenging to evaluate th...
: A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFN...