2007
DOI: 10.1149/1.2766907
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Modeling Negative Differential Resistance (NDR) Devices using Radial Basis Function Neural Networks

Abstract: 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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Cited by 2 publications
(1 citation statement)
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“…At present, solid state rectifiers are usually fabricated with p-n junctions of inorganic materials. However, recently a great attention has been given to the organic materials for use in electronic, microelectronic and photonic devices (1)(2)(3)(4). The major advantages of the organic devices are low cost, wide area and use on flexible plastics substrates.…”
Section: Introductionmentioning
confidence: 99%
“…At present, solid state rectifiers are usually fabricated with p-n junctions of inorganic materials. However, recently a great attention has been given to the organic materials for use in electronic, microelectronic and photonic devices (1)(2)(3)(4). The major advantages of the organic devices are low cost, wide area and use on flexible plastics substrates.…”
Section: Introductionmentioning
confidence: 99%