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Determination of type and concentration of DNA nitrogenous bases by Raman spectroscopy using artificial neural networks

机译:用人工神经网络测定拉曼光谱法测定DNA含氮碱的类型和浓度

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In this article the results of solution of two-parametrical inverse problems of laser Raman spectroscopy of identification and determination of concentration of DNA nitrogenous bases in two-component solutions are presented. Elaboration of methods of control of reactions with DNA strands in remote real-time mode is necessary for solution of one of the basic problems of creation of biocomputers – increase of reliability of molecular DNA-computations. The comparative analysis of two used methods of solution of stated problems has demonstrated convincing advantages of technique of artificial neural networks. Use of artificial neural networks allowed to reach the accuracy of determination of concentration of each base in two-component solutions 0.2-0.3 g/l.
机译:在本文中,介绍了鉴定激光拉曼光谱的两个参数逆问题的结果,并在双组分溶液中测定DNA含氮碱浓度的测定。在远程实时模式下阐述与DNA链的反应的方法是解决生物计算机创造的基本问题之一的必要条件 - 分子DNA计算的可靠性增加。两个规定问题解决方法的比较分析表明了人工神经网络技术的令人信服的优点。使用人工神经网络允许达到两组分溶液中每个碱浓度的准确性0.2-0.3g / L.

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