rough layer 中文意思是什麼
rough layer
解釋
粗糙層-
New layer added, onto which i airbrushed rough strokes
添加新圖層粗略的噴出層次。 -
The quality of buffer layer and thin films was analyzed by afm, xrd, rheed and xps respectively. the effect of the experimental parameters such as carbonization time, working pressure, c source gas flow rate, carbonization temperature, different carbonization gas and substrate on the carbonization process was studied firstly. it was observed that the size of particles was increased with the increase of carbonization time and the rms was opposite, but the trend was reduced while the carbonization time was long enough ; the size of particles was increased with the increase of working pressure too, and choosing a proper working pressure could get a smooth surface ; the size of particles was unobviously changed while the gas flow rate was low, but it was notability increased with the increase of gas flow rate while the gas flow rate was high enough, and a smooth surface could be also obtained by choosing a proper gas flow rate ; with the increase of carbonization temperature, the size of particles was increased, the rms is decreased and a good single - crystalline carbonization layer could be obtained, but a rough surface was formed at a excessive high temperature ; the rms of
對于碳化工藝，側重研究了碳化時間、反應室氣壓、 c源氣體的流量、碳化溫度以及不同種類的c源氣體、基片取向等因素對碳化層質量的影響，研究結果表明:隨著碳化時間的增長，碳化層的晶粒尺寸隨之變大，表面粗糙度隨之降低，但當碳化到一定時間之後，碳化反應減緩，碳化層的晶粒尺寸以及表面粗糙度的變化幅度變小;碳化層的晶粒尺寸隨反應室氣壓的升高而變大，適中的反應室氣壓可得到表面比較平整的碳化層;在c源氣體的流量相對較小時，碳化層的晶粒尺寸隨氣體流量的變化不明顯，但當氣體流量增大到一定程度時，碳化層的晶粒尺寸隨氣體流量的增大而明顯變大，同時，適中的氣體流量得到的碳化層表面粗糙度較低;碳化溫度較低時，碳化層的晶粒取向不明顯，隨著碳化溫度的升高，碳化層的晶粒尺寸明顯變大，且有微弱的單晶取向出現，但取向較差，同時，適中的碳化溫度可得到表面平整的碳化層;相比于c _ 2h _ 2 ，以ch _ 4作為c源氣體時得到的碳化層表面平整得多;比起si （ 100 ） ，選用si （ 111 ）作為基片生長的碳化層的晶粒取向一致性明顯更好。 -
According to some workpieces ' usage demands of the rough degree on the surface of hand chromium plating, through a serial of experiments, we have satisfied the requirements of the using workpieces ' hard chromium layer ' s consistence and rough degree through adding sand - blast treating to the workpieces ' which are not dealt after polishing and adopting some effective control ways to the plating frock and craft, thereby carrying out plating hard chromium like pear ' s skin
摘要根據某些工件對電鍍硬鉻層表面粗糙度的使用要求，經過一系列的試驗，通過機件毛坯拋光后增加噴砂處理及時電鍍工裝、工藝採用一些有效的控制手段進行電鍍梨底硬鉻，滿足了工件使用中對硬鉻層硬度和粗糙度的要求。 -
Often appear when elevator pass person, clip person, rough layer, strong tip, crouch driver of bottom, elevator or maintenance technician not to have mount guard card, driver to often take off hillock, expire without acceptance label or certificate of approval inside car, elevator has unusual noise or sound, unusual vibration or shake, there is unusually anxious burnt taste inside car, too fast or elevator rate is too slow, maintenance is not seasonable, wait without communication or warning decice inside elevator car, all can undertake quality or safety are complained
當電梯經常出現關人、夾人、不平層、沖頂、蹲底、電梯司機或維修人員無上崗證、司機經常脫崗，轎廂內無檢驗合格證或合格證過期，電梯有異常噪音或聲響，異常振動或抖動，轎廂內有異常焦糊味，電梯速度過快或過慢，維修保養不及時，電梯轎廂內無通訊或報警裝置等，均可進行質量或安全投訴。 -
The sugureko " dvr - dt90 70 " model series are the company s first digital terrestrial tuner equipped recorders, positioned as its high - end models for high quality pictures, and world s first to make use of single - sided dual layer dvd - r disc recording. easy operations with " keyword search keyword timer recording, new program search, and rough genre search " functions were explained. automatic timer recording compatibility with mobile phones pc, with many other features for the whole family members to enjoy were mentioned
" sugureko "系列的" dvr - dt90 70 "作為該公司最早配備地面波數字調諧器及追求高畫質與高便利性的高端機型，不僅能支持雙層dvd - r光盤的高速記錄，還具有使用高方便性的"錄像辭典"自動錄像功能，並且還配備有pc手機的預約功能，能滿足全體家庭成員的需求。 -
Under the condition that the lower - layer elements and their dominating upper - layer elements are considered as the condition attributes and the decision attributes separately, the following problems are studied : refining of assessment index system, acquirement of index weight and the constructing of judgment matrix based on the reduction and the attribute importance theory in rough sets, which achieve the sufficiency use of field knowledge for analytical hierarchy process and decision support of the hierarchy problems for rough sets
摘要將層次分析模型中下層因素與支配它的上層因素分別視為條件屬性和決策屬性，藉助粗糙集的約簡和屬性重要性理論，研究了融合粗糙集的層次分析法的指標體系的完善、指標權重的確定、判斷矩陣的構造等問題，實現了層次分析法時領域知識的利用及粗糙集對層次結構問題的決策支持。 -
Remove paint, sealing layer ( protection layer ), resin emulsion cement ( wear - resisting flooring ), protruding part, rain trace, trowel mark, rough surface, uneven joint etc
去除油漆、密封層（保護層） 、膠脂水泥（耐磨地坪） 、高出部分、雨跡、鏝刀痕、粗糙表面、不平接縫等。 -
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。 -
This paper describes a three - layer feedforward rough neural network which has four input rough neurons and ten input conventional neurons, five hidden rough neurons and one output rough neuron
本文給出了三層前向粗神經網路，輸入層由4個粗神經元和10個一般神經元組成，隱層和輸出層分別由5個、 1個粗神經元組成。 -
In this kind of networks, rough neurons locate in the hidden - layer and they consist of three parts which generated by two hyperplanes partition universe. the hyperplanes are obtained by support vector machines
該方法引入多個類似於支持向量機的子神經網路，並將網路中的隱含層單元設計成由多組粗糙神經元構成的網路單元。 -
This network ’ s structure is similar to the rbf neural network rather than the conventional ellipsoidal unit neural network. in the new network, the ellipsoidal unit functions are used in the hidden layer, and the weights between the hidden nods and the output nods are all connected. a method of rough k - means is used for obtaining the centers of ellipsoidal basic functions and the way of deciding the threshold
本文改進了一種橢球單元神經網路，它與經典橢球網路的結構不同，而與rbf神經網路結構類似:它的隱層節點採用橢球單元函數，代替了rbf網路的高斯基函數，並且用粗糙k -均值方法求取橢球基函數的中心，給出了確定初始閾值的方法。 -
The detailed procedure of algorithm is given. on this foundation, the concept of layered mining rough set fault diagnosis network is submitted. the user can use with diagnosis of different layer according to his specific requirement
並在此基礎之上，提出了分層發掘粗糙集故障診斷網路的概念，使得用戶可以根據診斷的不同需要在不同的層次對系統進行診斷。 -
This resulted in a rough and bead - shaped surface, obstructing a smooth layer deposition
球化的出現妨礙了直接金屬激光燒結成形的順利進行。 -
The main works and results are as follows : 1. by use of one order multiple scattering theory, light scattering and reflection by a single coating layer is analyzed. the variance of radiation intensity, bidirectional reflection distribution function ( brdf ) and laser radar scattering cross section with coating layer parameters is given, with the effect of rough contrast on bidirectional reflection distribution function
本文主要研究了單層和多層塗層結構介質的光散射特性，以及近場條件下復雜目標對激光波束的散射，其主要工作如下： 1 、採用一階多重散射近似理論分析單層塗層對光波的散射和反射，計算並討論了輻射強度、雙向反射分佈函數和單位面積激光雷達散射截面隨塗層結構參數的變化規律，數值分析了粗糙基底對雙向反射分佈函數的影響。
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