Title :
Information Fusing Control of the DNA Microinjection Volume Based on Stochastic Fuzzy Neural Network
Author :
Ling, Zhang ; Yongquan, Yu ; Bi, Zeng
Author_Institution :
Computer Institute Guangdong University of Technology Guangzhou 510090 CHINA, june4567@21cn.com
Abstract :
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.
Keywords :
Stochastic Fuzzy Neural Network; information fusing; pulse state recognition; DNA; Fuses; Fuzzy control; Fuzzy neural networks; Input variables; Microinjection; Pressure control; Size control; Stochastic processes; Stochastic resonance; Stochastic Fuzzy Neural Network; information fusing; pulse state recognition;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005. Proceedings of the 2005 International Conference on
Print_ISBN :
0-7803-9399-6
DOI :
10.1109/ISSNIP.2005.1595607
