Neural networks applied to wireless communications

A method based on Laser Induced Breakdown Spectroscopy (LIBS) and Neural Networks (NN) algorithms was developed and applied to achieve rapid identification and discrimination of

In the case of the linear-threshold neural network model, signal-to-noise analysis has been recently adapted 关1,2兴 to spatially organized networks and has shown that the

In this paper we have shown that the storage capacity of a binary attractor neural network can be increased by using a learning procedure based on the bump formations

We study the emerging collective dynamics of a neural network model that emits and recognizes neural signatures with different network topolo- gies in order to assess the capacity of

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

2 Neural Model Structure: Self-organizing and Fast Mapping The proposed architecture is based on two interconnected neural models that se- quentially project the 3D final

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

This project is going to focus on the design, implementation and analysis of a new machine learning model based on decision trees and other models, specifically neural networks..