AdaBoost-based artificial neural network learning
MM Baig, MM Awais, ESM El-Alfy - Neurocomputing, 2017 - Elsevier
A boosting-based method of learning a feed-forward artificial neural network (ANN) with a
single layer of hidden neurons and a single output neuron is presented. Initially, an …
single layer of hidden neurons and a single output neuron is presented. Initially, an …
A multiclass cascade of artificial neural network for network intrusion detection
MM Baig, MM Awais… - Journal of Intelligent & …, 2017 - content.iospress.com
This paper presents a cascade of ensemble-based artificial neural network for multi-class
intrusion detection (CANID) in computer network traffic. The proposed system learns a …
intrusion detection (CANID) in computer network traffic. The proposed system learns a …
Learning rule for linear multilayer feedforward ann by boosted decision stumps
MM Baig, ESM El-Alfy, MM Awais - … 2015, Istanbul, Turkey, November 9-12 …, 2015 - Springer
A novel method for learning a linear multilayer feedforward artificial neural network (ANN) by
using ensembles of boosted decision stumps is presented. Network parameters are adapted …
using ensembles of boosted decision stumps is presented. Network parameters are adapted …