Modeling Negative Differential Resistance (NDR) Devices using Radial Basis Function Neural Networks
This paper presents, for the first time, models for NDR devices based on radial basis neural networks and MATLAB routines. These models were carried out for devices, such as RTDs and a buriti oil single-layer, operating at room temperature. A RTD circuit was successfully simulated using the develope...
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Published in | ECS transactions Vol. 9; no. 1; pp. 363 - 371 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
21.09.2007
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Online Access | Get full text |
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Summary: | This paper presents, for the first time, models for NDR devices based on radial basis neural networks and MATLAB routines. These models were carried out for devices, such as RTDs and a buriti oil single-layer, operating at room temperature. A RTD circuit was successfully simulated using the developed neural network model. |
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ISSN: | 1938-5862 1938-6737 |
DOI: | 10.1149/1.2766907 |