@inproceedings{c5ee2a6a16e44442a0c3da08eec52b4f,
title = "Supervised training of a neural network for classification via successive modification of the training data - An experimental study",
abstract = "A method for training of an ML network for classification has been proposed by us in [3,4]. It searches for the non-linear discriminant functions corresponding to several small local minima of the objective function. This paper presents a comparative study of our method and conventional training with random initialization of the weights. Experiments with a synthetic data set and the data set of an OCR problem are discussed. The results obtained confirm the efficacy of our method which finds solutions with lower misclassification errors than does conventional training.",
keywords = "Auto-associative network, Discriminant analysis, Neural networks for classification, Projection pursuit, Statistical pattern recognition, Structure removal",
author = "Mayer Aladjem",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1998.; 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE ; Conference date: 01-06-1998 Through 04-06-1998",
year = "1998",
month = jan,
day = "1",
doi = "10.1007/3-540-64574-8_445",
language = "English",
isbn = "3540645748",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "593--602",
editor = "Moonis Ali and {del Pobil}, {Angel Pasqual} and Jose Mira",
booktitle = "Tasks and Methods in Applied Artificial Intelligence - 11 th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE, Proceedings",
address = "Germany",
}