In this thesis, by analyzing the principles, characters and classifying of adhesive force, the ways to reduce adhesive force are listed.

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Real_Long applied aerodynamicist principle to produce the Supersonic, Cryogenic, Fluidized Bed Superfine Pulverizing/Classifying System and research its innovative application technology.

瑞睿機(jī)械制造廠應(yīng)用空氣動(dòng)力學(xué)原理生產(chǎn)的超音速好大好硬好深好爽舒服、超低溫性爱黄片在线、流化床超微粉磨分級(jí)系統(tǒng)設(shè)備和用于創(chuàng)新性應(yīng)用的技術(shù)，并成功地將該技術(shù)應(yīng)用于工業(yè)化生產(chǎn)一级A片全部免费看视频。

If they succeed, it will be good news for researchers who want to switch from classifying cancers anatomically to classifying them biochemically.

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ID〓 is characterized by the fast speed of training and classifying, and it can be applied to large-scaled learning problems. But the selection criterion of attribute is the core of ID〓, and is now doubted. AQ〓 is a type of decision rule induction, presented by Michalski, a scientist of U. S.. It is characterized by high-precision classifying and capability of knowledge expression, and it can be applied to automatic knowledge acquisition in expert system. However, the inducing and matching speed of AQ〓 is slow.

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The system consists of two modules: visual clustering analysis and visual data classifying, with respect to clustering algorithms and classifying algorithms, in which the visual technology of parallel coordinates is combined to obtain better visual data mining effects.

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Secondly, two methods are combined into a 2D classifying method and again the current highway information foundation data elements are classified in 2 Dimensions. The problems in data element set are pointed out and also the expand idea is put forward. The key properties of 2D classifying data element are studied.

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At first, by studying on the mineral constituents, texture and structure, Scleroscope hardness and Vickers hardness etc. of the stone, a fast classifying way of stone machinability was proposed. Based on the Scleroscope hardness, mineral constituents and texture of the stone, it was successful applied in classifying the main Chinese natural stone.

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The Hausdorff property of a kind of classifying mode is defined. And it is proved that the single-layer perceptron can deal with the classifying problems of any Hausdorff pattern sets. Chapter 5 studies the radial basis function networks and a proof of Cover pattern classifiable theorem is presented.

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It has good classifying effect and its shortcomings are that feature terms are irrelated affecting classifying precision and consuming time is great in the classifying phase.

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The calculation results shows that ,(1) when the rotor rotates at the working speed, a local regurgitant whirlpool that is rightabout to the rotor"s rotating direction appears in the classifying region, which makes the separated granules come back to the outside of the classification district and influences the classification efficiency of the turbine classifier;(2) in the condition of a low rotating speed of turbo rotor, ultrafine particles can follow the gas phase by and large, but when the rotating speed increases, a phenomenon of velocity slippage between two phases appears evidently;(3) A operating parameter, air flow rate is so important that can directly influence the stability of flow field in classifying chamber, the bigger the air flowrate is , the steadier the flow field is;(4) Compared with straight blades, the new shape of blades with backward crooked elbow are helpful to improve the stability of flow field and form whole stream easily, also beneficial to advance the classification accuracy and classification efficiency;(5) The motion trace of particles are very complicated when the turbo rotor rotates at a high speed, the constant bounce of the particles appear between the blades and the coarse particles are even bounce back from the inlet, only the finer can pass through the classification area from the oulet;(6) Along with the increase of the rotor"s rotating speed, radiah axial and tangential velocity all begain to fluctuate repetitively like sine-wave, the smaller the particles are, the more violently they fluctuates.

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