Design and evaluation of a learning environment to effectively provide network security skills

Using the Izhikevich neuron model and a parallel model oriented to FPGA is a viable and feasible option to design a spiking neural network architecture adhered to biology being

Teaching computer network design and operation is complex due to the distributed nature of its operation, the high number of configuration parameters, the

In the last five years, we have successfully applied COSMO-based/Aspen Plus (Aspen HYSYS) procedure to the design and analysis of new different processes using

With regard to distributed coordination, the utility function is analyzed in two different scenarios to show the emergent behavior of the control architecture; the agent design

In this manner, this design decomposes the definition of a virtual testbed into a topology instantiation, a description of the macroscopic behavior of the network and a

If we apply this specification to an EMF model and a design pattern vocabulary model (instances of the meta-models in Fig. 4), we can identify instances of the patterns in the

Due to this, the design of the proposed neural network architecture is based on learning structures and focused on non-linear problems, such as the mentioned temperature

In this contribution, a novel learning architecture based on the interconnection of two different learning-based 12 neural networks has been used to both predict temperature and