Particle Swarm Optimization Technique for DNA Sensor Model Based Nanostructured Graphene


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DNA biosensors has received significant attention. In particular, we can mention the model of a graphene-based DNA sensor which is used for electrical detection of DNA molecules. In this paper, we consider a method of selection of PSO parameters for optimization of the analytical model of a graphene-based DNA sensor. In particular, we consider genetic algorithms, multilayer perceptron networks with gradient learning algorithm, recurrent neural networks with gradient learning algorithm, and 4-order Runge Kutta neural networks with different learning algorithms. Also, we present experimental results for different intelligent algorithms.



Edited by:

Zhang Mei




V. Popov, "Particle Swarm Optimization Technique for DNA Sensor Model Based Nanostructured Graphene", Advanced Materials Research, Vol. 936, pp. 415-418, 2014

Online since:

June 2014





* - Corresponding Author

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