This paper describes the development of an intelligent technique based on artificial intelligence for automatically detecting incidents on power distribution networks.
Several ADAS, which nowadays are being researched for Intelligent vehicles, are based on Artificial Intelligence and Robotics technologies.
However, in game theory, these are actually intelligent agents and their behavior is based on artificial intelligence models (Wooldridge 2009).
The objective of the current paper is to present an intelligent system for complex process monitoring, based on artificial intelligence technologies.
Optimization techniques based on artificial intelligence are reported in literature.
Biologically based mobile devices have been constructed that differ from robots based on artificial intelligence.
The algorithm is based on artificial intelligence procedures, specifically ANN.
This paper proposes an intelligent method based on artificial neural networks (ANNs) to detect bearing defects of induction motors.
This task has been developed by combining 165 UV/Vis absorption measurements and intelligent modeling based on artificial neural networks (ANNs), and is especially relevant as these compounds have been located in sources of drinking water within the concentration range covered.
Then based on the artificial intelligent technology, the intelligent prediction systems for nine meso-level mechanical parameters of PFC models were obtained by creating, training and testing the prediction models with the set of data got from the orthogonal tests.
