Publication | Closed Access
Comparison of learning algorithms
24
Citations
3
References
2008
Year
Unknown Venue
Artificial IntelligenceEvolving Neural NetworkEngineeringMachine LearningIntelligent NetworkData MiningPattern RecognitionCellular Neural NetworkAlgorithmic LearningPaper TwoKnowledge DiscoveryComputer EngineeringComputational Learning TheoryGenetic AlgorithmEvolving Intelligent SystemComputer ScienceNeural NetworksLearning Classifier System
There are several learning methods which are suitable for neural networks. In this paper two of them are described - Back-propagation (BP) and Genetic (GA) algorithms. These learning methods are compared here and they are used for the control of modern telecommunication network nodes.
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