Parameters Influencing the Optimization Process in Airborne Particles PM10 Using a Neuro-Fuzzy Algorithm Optimized with Bacteria Foraging (BFOA)
Open Access
- 1 January 2019
- journal article
- Published by Scientific Research Publishing, Inc. in International Journal of Intelligence Science
- Vol. 09 (03), 67-91
- https://doi.org/10.4236/ijis.2019.93005
Abstract
No abstract availableThis publication has 33 references indexed in Scilit:
- A hybrid Particle Swarm Optimization and Bacterial Foraging for optimal Power System Stabilizers designInternational Journal of Electrical Power & Energy Systems, 2013
- Interval type-2 fuzzy expert system for prediction of carbon monoxide concentration in mega-citiesApplied Soft Computing, 2012
- An approach to automatic real-time novelty detection, object identification, and tracking in video streams based on recursive density estimation and evolving Takagi-Sugeno fuzzy systemsInternational Journal of Intelligent Systems, 2010
- Chemotaxis in Escherichia coli: A Molecular Model for Robust Precise AdaptationPLoS Computational Biology, 2008
- Another look at measures of forecast accuracyInternational Journal of Forecasting, 2006
- Biomimicry of bacterial foraging for distributed optimization and controlIEEE Control Systems, 2002
- Daily respiratory mortality and PM10 pollution in Mexico City: importance of considering place of deathEuropean Respiratory Journal, 2000
- Ant system: optimization by a colony of cooperating agentsIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1996
- A generalized approach to fuzzy optimizationInternational Journal of Intelligent Systems, 1994
- ANFIS: adaptive-network-based fuzzy inference systemIEEE Transactions on Systems, Man, and Cybernetics, 1993