Fast learning high-order neural networks for pattern recognition

Electronics Letters

Volumn 40, Issue 19, 2004, Pages 1207-1208

  Zhang, S J ^a   Jing, Z L ^a   Li, J X ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; EQUIVALENCE CLASSES; FEATURE EXTRACTION; FUNCTION EVALUATION; LEARNING ALGORITHMS; MATHEMATICAL TRANSFORMATIONS; MORPHOLOGY; PATTERN RECOGNITION; VECTORS;

HIGH ORDER NEURAL NETWORK (HONN); INVARIANT-TARGET RECOGNITION (ITR); NEURONS; TRIGONOMETRY;

NEURAL NETWORKS;

EID: 4944265740     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:20045550     Document Type: Article

References (4)

1. Stavros, J.P., and Lisboa, P.J.G.: Translation, rotation, and scale invariant pattern recognition by high-order neural network and moment classifiers', IEEE Trans. Neural Netw., 1992, 3, (2), pp. 241-251
2. Karayiannis, N.B., and Venetsanopoulos, A.N.: 'On the training and performance of high-order neural networks', Math. Biosci, 1995, 129, (2), pp. 143-168
3. Sang-il, P., Mark, J., Smith, T., and Mersereau, R.M.: 'Target recognition based on directional filter banks and higher-order neural networks', Digit. Signal Process., 2000, 10, pp. 297-308
4. Minsky, M., and Papert, S.: 'Perceptrons' (MIT Press, Cambridge, MA, 1969)