In-network machine learning using programmable network devices: A survey
Machine learning is widely used to solve networking challenges, ranging from traffic
classification and anomaly detection to network configuration. However, machine learning …
classification and anomaly detection to network configuration. However, machine learning …
A Review on Machine Learning Strategies for Real‐World Engineering Applications
Huge amounts of data are circulating in the digital world in the era of the Industry 5.0
revolution. Machine learning is experiencing success in several sectors such as intelligent …
revolution. Machine learning is experiencing success in several sectors such as intelligent …
Artificial intelligence for 5G and beyond 5G: Implementations, algorithms, and optimizations
The communication industry is rapidly advancing towards 5G and beyond 5G (B5G) wireless
technologies in order to fulfill the ever-growing needs for higher data rates and improved …
technologies in order to fulfill the ever-growing needs for higher data rates and improved …
[图书][B] Kernel adaptive filtering: a comprehensive introduction
W Liu, JC Principe, S Haykin - 2011 - books.google.com
Online learning from a signal processing perspective There is increased interest in kernel
learning algorithms in neural networks and a growing need for nonlinear adaptive …
learning algorithms in neural networks and a growing need for nonlinear adaptive …
[图书][B] Applying neural networks: a practical guide
K Swingler - 1996 - books.google.com
" Only a few years ago the neural networks were touted as the solution to all our worries.
Artificial Intelligence the easy way! Of course nothing is ever that easy and it was not long …
Artificial Intelligence the easy way! Of course nothing is ever that easy and it was not long …
[图书][B] MIMO-OFDM for LTE, WiFi and WiMAX: Coherent versus non-coherent and cooperative turbo transceivers
MIMO-OFDM for LTE, WIFI and WIMAX: Coherent versus Non-Coherent and Cooperative
Turbo-Transceivers provides an up-to-date portrayal of wireless transmission based on …
Turbo-Transceivers provides an up-to-date portrayal of wireless transmission based on …
Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm
WC Hong - Energy, 2011 - Elsevier
Support vector regression (SVR), with hybrid chaotic sequence and evolutionary algorithms
to determine suitable values of its three parameters, not only can effectively avoid …
to determine suitable values of its three parameters, not only can effectively avoid …
[PDF][PDF] Quadrature amplitude modulation: From basics to adaptive trellis-coded, turbo-equalised and space-time coded OFDM, CDMA and MC-CDMA systems
An important accomplishment of information theory is the determination of the channel
capacity, C, which quantifies the maximum achievable transmission rate, C∗, of a system …
capacity, C, which quantifies the maximum achievable transmission rate, C∗, of a system …
Support vector machine techniques for nonlinear equalization
DJ Sebald, JA Bucklew - IEEE transactions on signal …, 2000 - ieeexplore.ieee.org
The emerging machine learning technique called support vector machines is proposed as a
method for performing nonlinear equalization in communication systems. The support vector …
method for performing nonlinear equalization in communication systems. The support vector …
Applications of neural networks to digital communications–a survey
M Ibnkahla - Signal processing, 2000 - Elsevier
Neural networks (NNs) are able to give solutions to complex problems in digital
communications due to their nonlinear processing, parallel distributed architecture, self …
communications due to their nonlinear processing, parallel distributed architecture, self …