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The model based on neural space mapping is one of the models which has been proposed to model the MOSFET transistors based on carbon nanotubes.
In a number of modified models, analytical mathematical model [1, 8], models based on neural networks (NNs) [10] or models based on neural space mapping (NSM) [9, 12] have been proposed for the direct calculation of output current.
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Primary amino acid sequence data were effectively eliminated from the input vector space based on neural network prediction analyses.
To cluster the proteins according to the codon usage data we used an unsupervised clustering method analysis, SOM, which is a clustering method based on neural networks, and it helps to visualize datasets by mapping a high dimensional data space into a two dimensional space [ 26].
Most of them use vector-space and probabilistic modeling approaches, some of them are based on neural networks or graphs.
The prediction models based on neural network are presented.
One is based on neural network.
The automatic method presented in this work is based on neural network analysis.
Recently, routing algorithms were obtained in [24, 25] based on neural networks.
These are designed based on neural nets with internal dynamics.
The new model proposed in this paper is based on neural networks (NNs).
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