Analysis of hidden units in a layered network trained to classify sonar targets

Neural Networks

Volumn 1, Issue 1, 1988, Pages 75-89

  Gorman, R Paul ^a   Sejnowski, Terrence J ^b  

^a Allied Signal Aerospace Technology Center ^*  (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Hidden units; Learning algorithms; Multilayered neural network; Signal processing; Sonar

Indexed keywords

COMPUTER PROGRAMMING - ALGORITHMS; PATTERN RECOGNITION; SIGNAL PROCESSING; SONAR - COMPUTER APPLICATIONS;

LEARNING ALGORITHMS; MULTILAYERED NEURAL NETWORK; SONAR TARGETS;

SYSTEMS SCIENCE AND CYBERNETICS;

EID: 0023843391     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/0893-6080(88)90023-8     Document Type: Article

References (13)

1. Nearest neighbor pattern classification
2. Automatic sonar target recognition based on human perceptual features
3. Learned classification of sonar targets using a massively-parallel network
4. Hierarchical clustering schemes
5. Nonlinear signal processing using neural networks: Prediction and system modelling
6. Extracting curvatures of 3-D objects using a neural network
7. An introduction to computing with neural nets
8. Parallel networks that learn to pronounce English text
9. Learning internal representations by error propagation
10. Learning symmetry groups with hidden units: Beyond the perceptron
11. Bibliography on estimation of misclassification
12. Learning acoustic features from speech data using connectionist networks
13. Adaptive switching circuits