吴舒辞,周国雄,王湘中.基于灰色预测的模糊神经网络孵化控制系统[J].农业机械学报,2008,39(11):109-112.
.[J].Transactions of the Chinese Society for Agricultural Machinery,2008,39(11):109-112.
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基于灰色预测的模糊神经网络孵化控制系统   [下载全文]
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DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  孵化  灰色预测  模糊神经网络  控制  仿真
基金项目:
吴舒辞  周国雄  王湘中
中南林业科技大学
中文摘要:提出一种基于灰色预测的模糊神经网络控制策略,并应用在孵化过程控制系统中。运用灰色预测技术对孵化参数进行预测,方便后续控制,而模糊神经网络则控制过程的动态特性,保证孵化参数的精确和稳定控制。仿真结果表明,该系统能在50s内将被控对象稳定,具有良好的动态和静态特性。
Key Words:
Abstract:A fuzzy neural network control strategy based on gray prediction was presented and applied in control system of incubation process. The main parameters of incubation were predicted by gray prediction. The dynamic characteristics were controlled by fuzzy neural network to keep the accuracy and stability. The simulated results show that the system can make the object stable in 50 s, and it has good dynamic and static characteristics.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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