除粗節 的英文怎麼說
中文拼音 [chúcūjié]
除粗節
英文
slub catching-
It has the advanced radial technology and the movement path likes 11 pieces plum blossoms shape, this machine uses a head screw pole to go up and down to control the power head, it has the enlarged bench, and air current double - direction adjusting valve to controlled the riveting speed effectively. the electricity system added the counter to count the work piece which was be processed, he time relay control the riveting times
Jm3tq - d是汽動類小型徑向鉚接機，與jm3tq - b和jm3tq - c相比，提高最大工作行程到40mm ，除應用有國際先進的11瓣梅花徑向鉚接技術外，該機採用頭部絲桿升降粗調，加大了工作臺面，氣路加裝雙向調節閥，有效控制鉚接速度。Zsk high, low - frequency shake frame screen applies to removing section and coarse select in the process of pulp - making
Zsk高、低頻振框篩用於制漿流程中的除節和粗選，可以將粗漿中的節子、塑料膜及未蒸解物與良漿分離。Zzs series shake frame flat screen apply to removing section and coarse select ofmechanical wood pulp, sulphate wood pulp, straw pulp and wasted paper, etc, during the procedure of make thick liquid extensively
Zzs系列振框篩廣泛用於機械木漿、硫酸鹽木漿、草漿及廢紙等制流程中的除節和粗選。Effectively remove aged horniness and waste from skin, particularly oil particles in pores, regularize sebum secretion, mildly shrink pores ; combined with whitening herbal essence, nourish and promote blood and air circulation, shrink rough pores, remove fine lines and make skin smooth and clear
有效清除含有黑色素的老化角質和代謝所產生的老化廢物，特別是滯留在細小毛孔中的微粒油脂，均衡調節皮脂分泌，溫和收斂皮膚毛孔；配合有美白效果的中藥成分，滋養和改善肌膚血氣運行，收細粗大毛孔，撫平細紋，締造光滑、透明的澄凈肌膚。Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly
本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。分享友人