@inproceedings{3744c259740f4d8ab4038ec535b813ec,
title = "Incorporating a priori knowledge into initialized weights for neural classifier",
abstract = "Artificial neural networks (ANN), especially, multilayer perceptrons (MLP) have been widely used in pattern recognition and classification. Nevertheless, how to incorporate a priori knowledge in the design of ANNs is still an open problem. The paper tries to give some insight on this topic emphasizing weight initialization from three perspectives. Theoretical analyses and simulations are offered for validation",
keywords = "IR-16331, METIS-113216",
author = "Zhe Chen and T.J. Feng and Tian-Jin Feng and Z. Houkes",
year = "2000",
month = jul,
day = "24",
doi = "10.1109/IJCNN.2000.857911",
language = "Undefined",
isbn = "0-7695-0619-4",
publisher = "IEEE",
pages = "291--296",
booktitle = "Proceedings of the IEEE-INNS-ENNS Int.Joint Conference on Neural Networks, Vol II",
address = "United States",
note = "null ; Conference date: 24-07-2000 Through 27-07-2000",
}