TY - GEN
T1 - Self-Organization of Architecture by Simulated Hierarchical Adaptive Random Partitioning
AU - Banan, M. R.
AU - Hjelmstad, K. D.
N1 - Publisher Copyright: © 1992 IEEE
PY - 1992
Y1 - 1992
N2 - In this article we present a simulation environment, based on the concept of hierarchical adaptive random partitioning (HARP), for simultaneously self-organizing the architecture and connection weights of neural networks to approximate multivariate mappings. The constructed approximation can be modeled as a modular, feedforward neural network with two hidden layers. The proposed environment shows good generalization even for small data sets and computes a confidence index for its predicted output. The simulation environment has a fast, automatic learning process and is based on a sound mathematical foundation.
AB - In this article we present a simulation environment, based on the concept of hierarchical adaptive random partitioning (HARP), for simultaneously self-organizing the architecture and connection weights of neural networks to approximate multivariate mappings. The constructed approximation can be modeled as a modular, feedforward neural network with two hidden layers. The proposed environment shows good generalization even for small data sets and computes a confidence index for its predicted output. The simulation environment has a fast, automatic learning process and is based on a sound mathematical foundation.
UR - http://www.scopus.com/inward/record.url?scp=46449092340&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=46449092340&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.1992.227050
DO - 10.1109/IJCNN.1992.227050
M3 - Conference contribution
T3 - Proceedings of the International Joint Conference on Neural Networks
SP - 823
EP - 828
BT - Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1992 International Joint Conference on Neural Networks, IJCNN 1992
Y2 - 7 June 1992 through 11 June 1992
ER -