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IEEE International Conference on Systems, Man and Cybernetics (SMC 03)

作者： Kataoka, K Hagiwara, M Keio Univ Dept Informat & Comp Sci Kohoku Ku Yokohama Kanagawa 2238522 Japan

ISBN: (纸本)0780379527

In this paper, we propose a new neural network model termed semantic and episodic associative neural network (SEANN) for natural language processing. The SEANN can deal with both semantic memory and episodic memory by sentences represented in a form of a semantic network. In this model, both semantic memory and episodic memory are represented in triples-representation of concepts. Our model consists of concepts of sentences associative neural network (CSANN) and MAM using area representation. CSANN can recall sentences in a form of triples-representation, and MA M using area representation can recall plural triples-representations from a word. We have carried out computer experiments to confirm the validity of the SEANN for natural language processing. We have investigated that our model can recall plural semantic memories from one word, and can recall semantic memories concerning with episodic memory.

关键词： multi-winner self-organizing neural network distributed pattern triples representation memory concept natural language

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Device used for self-collecting distributed water samples from storm runoff in a small catchment

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2006年第SUPPL. 2期27卷 62-65页

作者： Cao, Jiansheng Zhang, Wanjun Liu, Changming Han, Shumin Yang, Yonghui Center for Agricultural Resources Research Institute of Genetics and Developmental Biology CAS Shijiazhuang 050021 China

A device used for self-collecting distributed water samples from storm runoff in a small catchment was introduced. The device was composed of four parts, which were water pumping, distributing, collecting, and control systems, respectively. And for the water pumping system, the main components were pump located in the measurement weir and journey switch controlled by float. For the water distributing system, the components were pipe, disc, gear dial, gear, generator, journey switch, tortile pole switch and control shut-off. For the water collecting system, the components were water distributing disc and water containers. One water canal in the distributing disc was connected to one water container under the disc. For the control system, the main components were DC power, journey switch, tortile pole switch and delayed relay. The control system was mainly used for the auto-open and auto-close of pump and generator. Compared with traditional water collecting instruments, its characteristics are higher automatization, more convenient management and more suitable in field.

关键词： distributed pattern Self-designed Storm runoff Water sample collecting device

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Device used for collecting water samples and measuring rate of flow in slope runoff

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2007年第SUPP. 4期28卷 47-49页

作者： Cao, Jiansheng Zhang, Wanjun Liu, Changming Yang, Yonghui Center for Agricultural Resources Research Institute of Genetics and Developmental Biology CAS Shijiazhuang 050021 China

A self-designed device was introduced which was used for collecting water samples from slope runoff and measuring rate of flow. The device has realized self-measuring, the discharge of slope runoff and the process could be monitored synchronously. The function was based on three components, which were flow meter sensor with tilting bucket, pulse generator, and dotting counter. In addition, the distributed collecting of slope runoff is enabled by ratchet wheel dial, distributing water disc and collecting container. The device could collect water samples and assure rate of flow in any period. Compared with traditional instruments, which was higher automatization, it is ore convenient management, higher precision, disusing electric power, and more suitable in field. The device could be widely used in monitoring soil erosion, or soil and water loss, slope land during a rainfall event.

关键词： Collecting device distributed pattern Measurement of rate of flow Slope runoff Water sample collecting

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