A New Adaptive Merging and Growing Algorithm for Designing Artificial Neural Networks

This paper presents a new algorithm, called adaptive merging and growing algorithm (AMGA), in designing artificial neural networks (ANNs). This algorithm merges and adds hidden neurons during the training process of ANNs. The merge operation introduced in AMGA is a kind of a mixed mode operation, wh...

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Veröffentlicht in:	IEEE transactions on cybernetics 2009-06, Vol.39 (3), p.705-722
Hauptverfasser:	Islam, M., Sattar, A., Amin, F., Xin Yao, Murase, K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adding neurons Algorithm design and analysis Algorithms Architecture artificial neural network (ANN) design Artificial neural networks Australia Benchmark testing Breast cancer Credit cards Disease generalization ability Genes Learning theory Machine learning Merging merging neurons Neural networks Neural Networks (Computer) Neurons Process design retraining Statistics as Topic Strategy Studies Training
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