A modified binary particle swarm optimization with a machine learning algorithm and molecular docking for QSAR modelling of cholinesterase inhibitors

2021 ◽  
Vol 32 (9) ◽  
pp. 745-767
Author(s):  
E. Shamsi ◽  
A. Rahati ◽  
E. Dehghanian
Keyword(s):  
Machine Learning ◽  
Particle Swarm Optimization ◽  
Molecular Docking ◽  
Cholinesterase Inhibitors ◽  
Learning Algorithm ◽  
Particle Swarm ◽  
Binary Particle Swarm Optimization ◽  
Machine Learning Algorithm ◽  
Swarm Optimization ◽  
Qsar Modelling

SOM and PSO Based Alerts Clustering in Intrusion Detection System

2013 ◽  
Vol 401-403 ◽  
pp. 1453-1457 ◽  
Author(s):  
Yong Wen Jing ◽  
Li Fen Li
Keyword(s):  
Particle Swarm Optimization ◽  
Intrusion Detection ◽  
Learning Algorithm ◽  
Detection System ◽  
Particle Swarm ◽  
Binary Particle Swarm Optimization ◽  
Self Organizing Maps ◽  
Swarm Optimization ◽  
Network Intrusion ◽  
Comparative Results

With the growing deployment of host and network intrusion detection systems (IDSs), thousands of alerts are generally generated from them per day. Managing these alerts becomes critically important. In this paper, a hybrid alert clustering method based on self-Organizing maps (SOM) and particle swarm optimization (PSO) is presented. We firstly select the important features through binary particle swarm optimization (BPSO) and mutual information (MI) and get a dimension reduced dataset. SOM is used to cluster the dataset. PSO is used to evolve the weights for SOM to improve the clustering result. The algorithm is based on a type of unsupervised machine learning algorithm that infers relationships from data without the need to train the algorithm with expertly labelled data. The approach is validated using the 2000 DARPA intrusion detection datasets and comparative results between the canonical SOM and our scheme are presented.

Scheduling of Demand Side Resources Using Binary Particle Swarm Optimization

2009 ◽  
Vol 24 (3) ◽  
pp. 1173-1181 ◽  
Author(s):  
M. Pedrasa ◽  
T.D. Spooner ◽  
I.F. MacGill
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Binary Particle Swarm Optimization ◽  
Demand Side ◽  
Swarm Optimization

scholarly journals Combining Binary Particle Swarm Optimization with Support Vector Machine for Enhancing Rice Varieties Classification Accuracy

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Tran Thi Kim Nga ◽  
Tuan Pham-Viet ◽  
Dang Minh Tam ◽  
Insoo Koo ◽  
Vladimir Y. Mariano ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Particle Swarm Optimization ◽  
Classification Accuracy ◽  
Particle Swarm ◽  
Support Vector ◽  
Binary Particle Swarm Optimization ◽  
Rice Varieties ◽  
Swarm Optimization

Multi-modal aggression identification using Convolutional Neural Network and Binary Particle Swarm Optimization

2021 ◽  
Vol 118 ◽  
pp. 187-197
Author(s):  
Kirti Kumari ◽  
Jyoti Prakash Singh ◽  
Yogesh K. Dwivedi ◽  
Nripendra P. Rana
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Convolutional Neural Network ◽  
Particle Swarm ◽  
Binary Particle Swarm Optimization ◽  
Swarm Optimization
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