Artificial Neural Networks

biblio

An Improved Fuzzy Min–Max Neural Network for Data Classification

Submitted by aekwall on Mon, 03/22/2021 - 1:12pm

Brain modeling
semiperimeter
pattern classification problems
k-nearest FMM
improved fuzzy min-max network
improved FMM network
IFMM network
hyperbox semiperimeter
hyperbox classifier
histopathological images
fuzzy neural nets
fuzzy min–max (FMM) neural network
fuzzy min-max network
Euclidian geometry
Enhanced fuzzy min–max (EFMM) model
Adaptation models
minimax techniques
adaptive systems
Compositionality
expandability
data classification
image classification
Biological neural networks
Artificial Neural Networks
fuzzy set theory
Training
pattern classification
pubcrawl
Resiliency
nearest neighbour methods

biblio

Physical Adversarial Attacks Against Deep Learning Based Channel Decoding Systems

Submitted by aekwall on Mon, 03/15/2021 - 11:57am

Jamming
wireless security
telecommunication security
Resiliency
pubcrawl
private key cryptography
physical white-box
physical adversarial attacks
Perturbation methods
Noise measurement
Neural networks
modulation
Metrics
learning (artificial intelligence)
white box cryptography
huge success
deep learning channel
deep learning
Decoding
conventional jamming attacks
composability
classical decoding schemes
channel decoding systems
channel decoding
channel coding
black-box adversarial attacks
Artificial Neural Networks
adversarial attacks

biblio

Black-Box Modelling of a DC-DC Buck Converter Based on a Recurrent Neural Network

Submitted by aekwall on Tue, 03/09/2021 - 12:04pm

autoregressive processes
Training
System Identification
switching convertors
static behavior
recurrent nonlinear autoregressive exogenous neural network
prediction
power converter
nonsynchronous buck converter model
DC-DC power converter
DC-DC buck converter
black-box modelling
black-box model
black-box approach
Resiliency
black-box models
radial basis function networks
Artificial Neural Networks
multilayer perceptrons
DC-DC power convertors
recurrent neural network
recurrent neural nets
black box encryption
power engineering computing
neural network
Metrics
composability
pubcrawl

biblio

Approximate Symbolic Explanation for Neural Network Enabled Water-Filling Power Allocation

Submitted by aekwall on Mon, 03/01/2021 - 5:03pm

fading channels
symbolic mapping
slow iterative search
OFDM sub-channels
NN power allocation solution
neural network enabled water-filling power allocation
Meijer G-function
iterative WF threshold search process
direct high-dimensional mapping
channel gain
approximate symbolic explanation
Search Space
OFDM modulation
Transforms
xai
Scalability
approximation theory
wireless
Artificial Neural Networks
telecommunication computing
neural nets
optimization
Iterative methods
Wireless communication
resource management
deep learning
pubcrawl
Resiliency
machine learning

biblio

Integrating Mission-Centric Impact Assessment to Operational Resiliency in Cyber-Physical Systems

Submitted by aekwall on Mon, 02/08/2021 - 1:40pm

Human Factors
Task Analysis
Scalability
Resiliency
pubcrawl
Predictive Metrics
optimization
operability
Open Source Software
mission impact propagation graph
mission impact
Metrics
logical attack graph
Computing Theory
cyberattack
cyber-physical systems
Cyber Dependencies
CPS Modeling and Simulation
Control Theory
Computing Theory and Resilience
Computer crime
Computational modeling
Compositionality
composability
Artificial Neural Networks
resilience

biblio

Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries

Submitted by grigby1 on Thu, 01/28/2021 - 1:10pm

neural nets
transferable adversaries
Training
Task Analysis
single-step adversaries
security of data
Scalability
Resiliency
resilience enhancement
resilience
pubcrawl
Perturbation methods
pattern classification
Neural networks
Adversarial training
Multi-step Adversaries
Metrics
machine learning
learning (artificial intelligence)
Information systems
Human behavior
defense methods
deep learning networks
deep learning
classification decision model
Artificial Neural Networks
Adversary Models

biblio

On the Effective Capacity of an Underwater Acoustic Channel under Impersonation Attack

Submitted by grigby1 on Wed, 01/20/2021 - 4:08pm

telecommunication computing
Markov processes
neural nets
probability
pubcrawl
Quality-of-Service
resilience
Resiliency
state-transition probabilities
markov chain
telecommunication security
threshold-based decoding error model
underwater acoustic
underwater acoustic channel
underwater acoustic communication
UWA channel
wireless channels
gradient methods
artificial neural network
Artificial Neural Networks
authentication
authentication constraints
channel coding
composability
effective capacity
feature-based authentication
Acoustic Fingerprints
gradient-descent technique
GTJ method
Human behavior
impersonation attack
Kuiper belt
malicious data
malicious node

biblio

Multi-Robot System Based on Swarm Intelligence for Optimal Solution Search

Submitted by aekwall on Mon, 12/14/2020 - 12:37pm

DC motors
temperature generating sources
system structure
Search Space
radio-electro-magnetic devices
radiation sources
optimal solution search
operation system
neurocontrollers
multirobot system
Multi-Robot System
gradient vectors
gradient vector
Gradient Field
pubcrawl
DC motor rotational speed
angular velocity control
Artificial Neural Networks
Systems engineering and theory
gradient methods
Compositionality
sensors
Vectors
particle swarm optimization
Swarm Intelligence
multi-robot systems
mobile robots
composability

biblio

Comparing Explanations between Random Forests and Artificial Neural Networks

Submitted by grigby1 on Tue, 12/01/2020 - 2:02pm

learning algorithm
Vegetation
transparent structure
random forests
Radio frequency
pubcrawl
predictive performance
predictive accuracy
Prediction algorithms
neural nets
Artificial Intelligence
human trust
Human behavior
heuristic explanation method
Forestry
decision making processes
Decision Making
black boxes
Artificial Neural Networks

biblio

Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory

Submitted by grigby1 on Tue, 11/17/2020 - 2:51pm

probability
mean-field game theory
military computing
mobile ad hoc network
mobile ad hoc networks
neural nets
neural network
online reinforcement learning
optimal decentralized power allocation
optimal power allocation algorithms
Mean-field game
pubcrawl
Reinforcement learning
resource management
Scalability
self-organizing features
tactical edge
Transmitters
wireless connection population
Human Factors
Artificial Neural Networks
Cost function
dynamic power allocation
Fokker-Planck equation
Fokker-Planck-Kolmogorov equation
game theory
Hamiltonian-Jacobian-Bellman equation
Heuristic algorithms
actor-critic-mass algorithm
intelligent decentralized dynamic power allocation
Interference
Internet of battlefield things
Internet of Things
iobt
learning (artificial intelligence)
MANET
Mathematical model

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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

Artificial Neural Networks

An Improved Fuzzy Min–Max Neural Network for Data Classification

Physical Adversarial Attacks Against Deep Learning Based Channel Decoding Systems

Black-Box Modelling of a DC-DC Buck Converter Based on a Recurrent Neural Network

Approximate Symbolic Explanation for Neural Network Enabled Water-Filling Power Allocation

Integrating Mission-Centric Impact Assessment to Operational Resiliency in Cyber-Physical Systems

Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries

On the Effective Capacity of an Underwater Acoustic Channel under Impersonation Attack

Multi-Robot System Based on Swarm Intelligence for Optimal Solution Search

Comparing Explanations between Random Forests and Artificial Neural Networks

Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory