A possible genetic-algorithm based method for optimizing a class of ANN transfer functions
2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628) - Tập 2 - Trang 1353-1356 vol.2
Tóm tắt
This paper proposes a hybrid of two methods to determine the weight-constants in a class of artificial neuron networks, ANNs. The class of ANNs we are interested in are characterized by feed-forward processing elements. One of the methods is the genetic algorithm, GA; the other is "training through" back-propagation of the error, BPE. We expect our hybrid scheme to be faster than using BPE alone.
Từ khóa
#Optimization methods #Transfer functions #Artificial neural networks #Circuits #Neurons #Genetics #Backpropagation #Resource management #Weight measurement #Error correctionTài liệu tham khảo
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