Xiaojiao Ye

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Human vascular systems have considerable anatomic variations. In diseased situation, significant pathological changes will be developed with the systems. However, vascular catheterization devices commercially available are essentially designed on normal or average anatomy. Their inadequacies in representing major deviations in human vascular anatomy may(More)
In this paper, a genetic neural network classification model is developed. The proposed model can not only optimize the weights and thresholds of neural network, but also reduce network size by identifying the feature subset effectively using genetic algorithm. This technique is aimed at finding out a network that is large enough to capture the accurate(More)
In order to solve the problem with being easily trapped in a local optimum of back propagation neural network (BPNN) and the premature convergence based on standard genetic algorithm (SGA), a dynamic and adaptive model which combines the modified genetic algorithm (MGA) with BPNN is proposed in this paper. By introducing modified genetic operators and(More)
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