LINEAR MACHINE LEARNING METHOD BASED ON DNA HYBRIDIZATION REACTION TECHNOLOGY
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United States of America Patent
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Issued Date -
Jan 23, 2025
app pub date -
Jun 25, 2024
filing date -
Jun 25, 2024
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Abstract
A new linear machine learning method based on DNA hybridization reaction technology, includes a machine learning training part, an algorithm part, and a testing part. This machine learning method has the ability to learn linear functions. Unlike silicon circuits, the learning algorithm is implemented through the synchronization of DNA hybridization reactions. Therefore, the calculation mode of this machine learning method is a parallel computing model, and the weights of this machine learning are obtained through training without the involvement of electronic computers. Through the method, it is possible to learn multivariable linear functions without any limitation on the number of input terms. Due to the non-negative DNA concentration, the method used a dual track model for negative data processing operations.
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