The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The pi-sigma network: an efficient higher-order neural network for pattern classification and function approximation
Abstract
Introduces a novel feedforward network called the pi-sigma network. This network utilizes product cells as the output units to indirectly incorporate the capabilities of higher-order networks while using a fewer number of weights and processing units. The network has a regular structure, exhibits much faster learning, and is amenable to the incremental addition of units to attain a desired level of complexity. Simulation results show good convergence properties and accuracy for function approximation. Comparative results using the DARPA acoustic transient data set are also provided to highlight the classification abilities of pi-sigma networks.>
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Cites
An introduction to computing with neural nets
Lippmann, R. (1987) · IEEE ASSP Magazine · doi:10.1109/massp.1987.1165576 · Cited by 7,825
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30 years of adaptive neural networks: perceptron, Madaline, and backpropagation
Widrow, B., & Lehr, M. A. (1990) · Proceedings of the IEEE · doi:10.1109/5.58323 · Cited by 2,242
Pattern classification using neural networks
Lippmann, R. P. (1989) · IEEE Communications Magazine · doi:10.1109/35.41401 · Cited by 811
Learning, invariance, and generalization in high-order neural networks
Giles, C. L., & Maxwell, T. (1987) · Applied Optics · doi:10.1364/ao.26.004972 · Cited by 676
On optimal nonlinear associative recall
Poggio, T. (1975) · Biological Cybernetics · doi:10.1007/bf02281970 · Cited by 139
Rapid training of higher-order neural networks for invariant pattern recognition
Rei, Spirkovska, & Ochoa (1989) · doi:10.1109/ijcnn.1989.118653 · Cited by 71
Connectivity strategies for higher-order neural networks applied to pattern recognition
Spirkovska, L., & Reid, M. B. (1990) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.1990.137538 · Cited by 37
Metadata
- Authors
- Shin, Y., & Ghosh, J.
- Venue
- IJCNN-91-Seattle International Joint Conference on Neural Networks
- Publisher
- IEEE
- Published
- 2002-12-09
- Volume
- i
- Pages
- 13-18
- ISSN
- 2161-4407 (ISSN-L)
- OpenAlex
- W2165350140
- Cited by
- 299
- References
- 8
- FWCI
- 7.07
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Shin, Y., & Ghosh, J. (2002). The pi-sigma network: an efficient higher-order neural network for pattern classification and function approximation. IJCNN-91-Seattle International Joint Conference on Neural Networks. https://doi.org/10.1109/ijcnn.1991.155142
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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