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Information Fusing Control of the DNA Microinjection Volume Based on Stochastic Fuzzy Neural Network

机译:基于随机模糊神经网络的DNA微量注射量信息融合控制

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The single-factor controlling accuracy of the DNA microinjection volume by a gaseous-electrical controller is not satisfying by now. A method based on SFNN to fuse controlling factors' information, including injection pressure, time and pipette's size, etc. is presented in this paper, by which the controlling of DNA microinjection volume is improved. The experimental results show that, compared with the single-factor control, the new method is more effective, and less sensitive to the noise in the input parameters' measurement.
机译:迄今为止,通过气电控制器对DNA微量注射量的单因素控制精度尚不令人满意。提出了一种基于SFNN的融合控制因素信息的方法,包括注射压力,时间和移液管的大小等,从而改善了DNA显微注射量的控制。实验结果表明,与单因素控制相比,新方法更有效,对输入参数测量中的噪声不敏感。

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