Capability of a Recurrent Deep Neural Network Optimized by Swarm Intelligence Techniques to Predict Exceedances of Airborne Pollution (PMx) in Largely Populated Areas.
Gerardo Javier Kuri-MongeMarco Antonio Aceves-FernándezJulio Alberto Ramírez MontañezJesús Carlos Pedraza OrtegaPublished in: ICIT (2021)
Keyphrases
- swarm intelligence
- neural network
- recurrent neural networks
- bio inspired
- evolutionary computation
- feed forward
- ant colony optimization
- particle swarm optimization
- computational intelligence
- ant colonies
- nature inspired
- artificial neural networks
- collective intelligence
- social behavior
- multiobjective optimization
- social insects
- bacterial foraging optimization algorithm
- particle swarm optimization pso
- theoretical and empirical study
- back propagation
- swarm optimization
- artificial immune system
- ant colony optimization algorithm
- gravitational search algorithm
- evolutionary algorithm
- neural network model
- collective behavior
- artificial bee colony
- artificial life
- fuzzy logic
- swarm robotics
- cooperative
- urban areas
- artificial intelligence
- foraging behavior
- social interaction
- genetic algorithm