Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …

Machine learning (ML) has been widely applied to the upper layers of wireless
communication systems for various purposes, such as deployment of cognitive radio and …

As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …

This letter presents our initial results in deep learning for channel estimation and signal
detection in orthogonal frequency-division multiplexing (OFDM) systems. In this letter, we …

Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and
control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …

The emerging machine learning technique called support vector machines is proposed as a
method for performing nonlinear equalization in communication systems. The support vector …

This paper addresses the problem of multiple-input multiple-output (MIMO) frequency
nonselective channel estimation. We develop a new method for multiple variable regression …

Neural networks (NNs) are able to give solutions to complex problems in digital
communications due to their nonlinear processing, parallel distributed architecture, self …

The present bibliography represents a comprehensive list of references on nonlinear system
identification and its applications in signal processing, communications, and biomedical …

Nonlinear adaptive filters based on a variety of neural network models have been used
successfully for system identification and noise-cancellation in a wide class of applications …