Spam Classification Based on Supervised Learning Using Grasshopper Optimization Algorithm and Artificial Neural Network.
Sanaa Abduljabbar Ahmed GhalebMumtazimah MohamadEngku Fadzli Hasan Syed AbdullahWaheed Ali H. M. GhanemPublished in: ACeS (2020)
Keyphrases
- optimization algorithm
- spam classification
- artificial neural networks
- supervised learning
- multi objective
- web spam
- spam filtering
- spam detection
- optimization method
- differential evolution
- back propagation
- particle swarm optimization pso
- training data
- active learning
- evolutionary multi objective
- semi supervised
- neural network
- optimization strategy
- machine learning
- evolutionary algorithm
- recurrent neural networks
- bp neural network
- learning algorithm
- hybrid optimization algorithm
- training set
- control parameters
- web pages
- genetic algorithm
- computational intelligence
- multi class