Single-Layer Perceptron Capable Of Classifying 2N+1 Distinct…
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- DOI 10.1080/02286203.1990.11760106
- OpenAlex ID W2523437662
- Type Article
- Language EN
- Published 01 Jan 1990
- Volume 10 (4)
- Pages 124–128
- Source International Journal of Modelling and S…
- Publisher Taylor & Francis
- Countries 1
- Institutions 3
- Added 10 Oct 2025
- Updated 29 Sep 2026
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Single-Layer Perceptron Capable Of Classifying 2N+1 Distinct Input Patterns
Article 1990 EN
A new multi-threshold Perceptron capable of handling both binary and analog input is presented and discussed. The modified Perceptron replaces the sigmoid function with sum of Gaussian functions with different mean values. A computer program was developed to simulate behavior of a network utilizing the modified Perceptron. Both XOR and parity check problems were solved using a single-layer network…
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Authors & Affiliations
5 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Kaveh Ashenayi | University of Tulsa (US) | — |
| 2 | James Vogh | University of Tulsa (US) | — |
| 3 | Heng‐Ming Tai | University of Tulsa (US) | |
| 4 | Mohammad Sayeh | Southern Illinois University C… (US) | |
| 5 | Mohammad Mostafavi | University of North Carolina S… (US) | — |
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