There has been a tremendous growth in the amount of information and resources on the
World Wide Web that are useful to researchers and practitioners in science domains. While …

Information filtering (IF) systems usually filter data items by correlating a set of terms
representing the user's interest (a user profile) with similar sets of terms representing the …

This paper described two kinds of neural networks for text categorization, multi-output
perceptron learning (MOPL) and back-propagation neural network (BPNN), and then we …

In this paper, we propose a modified variable string length genetic algorithm (MVGA) for text
clustering. Our algorithm has been exploited for automatically evolving the optimal number …

An ANN-based automatic classifier for power system disturbance waveforms was
developed. Actual voltage waveforms were applied in the training process. Signals are …

This paper describes a novel adaptive learning approach for text categorization based on a
Back-propagation neural network (BPNN). The BPNN has been widely used in classification …