Multistage Information Filtering Using Cascaded Neural Networks
Southwestern Bell Technology Resources St. Louis, MO. 63141
This paper describes a multistage neural network classifier for filtering information. Classifiers based on adaptive mapping networks are used to incrementally refine information as it passes through a cascade. Results are derived showing that such a refinement process can be performed. Experimental results are derived to determine the computational efficiency and accuracy of the filter cascade. Applications to information distribution and information bases are suggested.
Although there has been much work on creating information retrieval systems and information filters ...