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