A sample set condensation algorithm for the class sensitive artificial neural network

Pattern Recognition Letters

Volumn 17, Issue 8, 1996, Pages 819-823

  Chen, C H ^a   Jóźwik, Adam ^b  

^a Department of Electrical and Computer Engineering   (United States)

^b INSTITUTE OF BIOCYBERNETICS AND BIOMEDICAL ENGINEERING   (Poland)

Author keywords

Artificial neural networks; Statistical pattern recognition; Training set condensation

Indexed keywords

ALGORITHMS; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; REMOTE SENSING; STATISTICAL METHODS;

CLASS SENSITIVE NEURAL NETWORK (CSNN); REMOTE SENSING DATA SET; TRAINING SET CONDENSATION;

NEURAL NETWORKS;

EID: 0030196853     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-8655(96)00041-4     Document Type: Article

References (3)

1. Chen, C.H. and G.H. You (1993). Class-sensitive neural network. Presented at WCNN93, appeared also in Neural, Parallel & Scientific Computations 1, 93-96.
2. Devijver, P.A. and J. Kittler (1982). Pattern Recognition: A Statistical Approach. Prentice-Hall, Englewood Cliffs, NJ.
3. Serpico, S.B. and F. Roli (1995). Classification of multisensor remote sensing images by structured neural networks. IEEE Trans. Geoscience Remote Sensing 33 (3), 562-578.