A guide to expert systems
Multilayer feedforward networks are universal approximators
Neural Networks
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Knowledge Acquisition from Databases
Knowledge Acquisition from Databases
Machine Learning
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
Ontological Engineering
An application of artificial neural networks in environmental pollution forecasting
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
A fuzzy logic based system for heavy metals loaded wastewaters monitoring
CI'10 Proceedings of the 4th WSEAS international conference on Computational intelligence
Applying artificial neural networks in environmental prediction systems
ICAI'10 Proceedings of the 11th WSEAS international conference on Automation & information
The neural network-based forecasting in environmental systems
WSEAS Transactions on Systems and Control
Mapping ontologies in an air pollution monitoring and control agent-based system
DS'06 Proceedings of the 9th international conference on Discovery Science
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Air pollution control in urban regions is one of the main directions of research in the environmental sciences. For each region the pollution causes and pollution dispersion are different, depending on the industrial activity, on vehicles traffic, on domestic sources and so on, as well as on the geographical location, temperature of the air, speed and direction of the wind, and other weather factors. Several mathematical models are used for the description of the relationships between environmental protection and meteorological factors. An alternative approach to the mathematical models is a knowledge-based approach, that integrate multiple sources of knowledge in a knowledge base.The paper describes a case study of knowledge modelling in an air pollution control decision support system that uses DIAGNOZA_MEDIU, a prototype expert system dedicated to air pollution analysis and control in urban regions. We have developed an ontology, AIR_POLLUTION, for the application domain. Several AI techniques were used in the knowledge modelling process. An artificial neural network provides predictive knowledge to the facts base, and a part of the rules from the rule base are extracted by using inductive learning.