Title :
Structure adaptation in feed-forward neural networks
Author :
Khorasani, K. ; Weng, W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
fDate :
27 Jun-2 Jul 1994
Abstract :
In this paper two new structures (algorithms) are proposed for adaptively adjusting the network structure. Both neuron pruning and neuron generating are considered for a feedforward neural network. Simulations results are presented to confirm the improvements that are obtained as a result of utilizing the proposed algorithms
Keywords :
feedforward neural nets; feedforward neural network; neuron generating; neuron pruning; structure adaptation; Computational modeling; Cost function; Feedforward neural networks; Feedforward systems; Feeds; Intelligent networks; Multi-layer neural network; Multidimensional systems; Neural networks; Neurons;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374491
