Title :
Self-generating neural networks
Author :
Wen, Wilson X. ; Liu, Huan ; Jennings, Andrew
Author_Institution :
Telecom Res. Lab., Clayton, Vic., Australia
Abstract :
A method for generating neural networks automatically is proposed. Not only the weights of the connections but also the structure of the network including the number of neurons, the number of layers, and the interconnections among the neurons are all learned from the training examples. Issues of optimization and pruning of the generated networks are investigated. An experimental system has been implemented based on the proposed method and some experimental results and comparisons between this method and other methods are also given
Keywords :
learning by example; optimisation; self-organising feature maps; layers; learning by examples; neurons; optimization; pruning; self-generating neural networks; Artificial intelligence; Feedforward neural networks; Humans; Multi-layer neural network; Neural networks; Neurons; Resonance; Self-organizing networks; Tree data structures; Tree graphs;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.227211
