NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Decision boundary feature extraction for neural networksWe propose a new feature extraction method for neural networks. The method is based on the recently published decision boundary feature extraction algorithm. It has been shown that all the necessary features for classification can be extracted from the decision boundary. To apply the decision boundary feature extraction method, we first define the decision boundary in neural networks. Next, we propose a procedure for extracting all the necessary features for classification from the decision boundary. The proposed algorithm preserves the characteristics of neural networks, which can define arbitrary decision boundary. Experiments show promising results.
Document ID
19930066522
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Lee, Chulhee
(NASA Headquarters Washington, DC United States)
Landgrebe, David A.
(Purdue Univ. West Lafayette, IN, United States)
Date Acquired
August 16, 2013
Publication Date
October 1, 1992
Subject Category
Cybernetics
Meeting Information
Meeting: 1992 IEEE International Conference on Systems, Man, and Cybernetics
Location: Chicago, IL
Country: United States
Start Date: October 18, 1992
End Date: October 21, 1992
Accession Number
93A50519
Funding Number(s)
CONTRACT_GRANT: NAGW-925
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.
No Preview Available