Abstract The Multi-Layer Perceptron (MLP), as one of the most-widely used Neural Networks
(NNs), has been applied to many practical problems. The MLP requires training on specific …

Multi-Layer Perceptron Neural Networks (MLP NNs) are the commonly used NNs for target
classification. They purposes not only in simulated environments, but also in actual …

One of the primary challenges associated with network functions virtualization (NFV) is the
automated management of the service lifecycle. In this paper, we present a full software …

A brain-computer interface (BCI) system is one of the most effective ways that translates
brain signals into output commands. Different imagery activities can be classified based on …

Radial basis function neural networks (RBF NNs) are one of the most useful tools in the
classification of the sonar targets. Despite many abilities of RBF NNs, low accuracy in …

The emergence of the new technologies such as virtualization and distributed cloud
computing has provided new opportunities for management and orchestration of the …

Abstract Multi-layer Perceptron Neural Networks (MLP NNs) are one of the most popular
NNs in classification of the actual objectives.“Training” is the most important developmental …

An important challenge in network virtualization is the process of assigning physical
resources to virtual network requests, where virtual node resources represent the demands …

This letter proposes a new method for designing photonic crystal (PhC) filters. The method is
proposed while designing novel superdefect PhC filters with three and five ellipse-shaped …

Tumor segmentation from magnetic resonance imaging (MRI) data is an important but time
consuming manual task performed by medical experts. Automating this process is a …