Skip to Main Content Area
CPS-VO
Contact Support
Browse
Calendar
Announcements
Repositories
Groups
Search
Search for Content
Search for a Group
Search for People
Search for a Project
Tagcloud
› Go to login screen
Not a member?
Click here to register!
Forgot username or password?
Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
NSL- KDD dataset
biblio
Performance Comparison of Intrusion Detection System Between Deep Belief Network (DBN)Algorithm and State Preserving Extreme Learning Machine (SPELM) Algorithm
Submitted by aekwall on Mon, 05/11/2020 - 10:18am
pedestrian detection
machine learning algorithms
machine learning classifier
Metrics
network intrusion detection
NSL- KDD dataset
NSL-KDD dataset
object detection
pattern classification
learning (artificial intelligence)
pedestrians
security of data
SPELM algorithm
state preserving extreme learning machine algorithm
State Preserving Extreme Learning Machine(SPELM)
testing
Training
DBN algorithm
pubcrawl
composability
Resiliency
Anomaly Detection
Classification algorithms
Computational modeling
cyber security
Data models
belief networks
Deep Belief Network
deep belief network algorithm
face recognition
feature extraction
feedforward neural nets
Intrusion Detection
intrusion detection system