節理糙度 的英文怎麼說
中文拼音 [jiélǐcāodù]
節理糙度
英文
joint roughness-
Ceramic grain filters ard made of refined pottery clays added with certain modifiers, and processed of grinding, mixing, shaping and high temperature sintering. they do not contain any substances that harmful to people or environment. they are hard and rough in surface, porous inside the structure, and have the advantages of high mechanical strength, large specific surface area and porosity. when used in water treatment, they behave a activated surface property, a great amount of pollutant entrapment, less water head loss in the filter bed, lower consumption of back - flush water, stable in chemical and gbiologic property, and long service life, ceramic grain filters is a new and efficient filter material to increase the water yield, upgrade the water quality, and save chemicals and energy
陶粒濾料是以精製陶土為主要原料，摻加適量改性劑，經粉碎，混練，成型和高溫煅燒而製成的，不含任何對人體和環境有害的物質.其表面堅硬，粗糙，內部疏鬆，多孔，具有機械強度高，比表面積大，孔隙率大的特性.用於水處理中，具有表面性狀好，截污能力強，過濾水頭損失小，反沖洗耗水量低，化學穩定性和生物學穩定性好，使用壽命長的特點.陶粒濾料是一種能增加水產量，提高出水質量，節省藥劑和能耗的新型高效過濾材料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。These are employed for constructing and configuring fuzzy neural network, where the number of neurons of hidden layer of network is equated to the number of rules and the initial weights of network are configured by above factors
首先利用粗糙集理論對樣本數據進行初步規則獲取，並計算規則的依賴度和條件覆蓋度，然後根據這些規則進行網路設計，其中，網路隱層節點的數目等於規則的數目，初始網路權重由規則的依賴度和條件覆蓋度確定，最後用遺傳演算法對模糊神經網路參數進行優化。Study on the surface roughness of rock joint
巖石節理面粗糙程度研究Fractal analysis on shearing strength of rough rock joints
巖石粗糙節理剪切強度的分形分析The adjusted shearing strength formula of rough rock joint
粗糙巖石節理剪切強度的修正公式Pattern recognition and fault diagnosis based on the rough sets theory and neural networks is studied in this dissertation. rough set theory in the noise environment and in the real region is generalized, and as the sametime, the methods of combine rough set theory with neural networks are proposed. the main contents of the dissertation are organized as follow : at first, a relation of nearness instead of indiscernibility is proposed for increasing the robustness of decision system which consists of noise pollution data
論文運用粗糙集理論與神經網路方法進行了模式識別和故障診斷方面的研究，對在噪聲下和實數領域的粗糙集模型進行了擴展，研究了粗糙集與神經網路的多種集成應用方法，全文的主要內容如下:首先，論文針對經典粗糙集理論中的不可分辨關系對連續屬性值中噪聲數據缺乏容錯性的情況，提出一種相近關系代替不可分辨關系，並用不同的值調節相近關系中可接受的相近程度，限制了可冗餘的范圍。Fractal research of joints roughness coefficient of rock
節理粗糙度與分維During the resent years, bump mapping is one of the hotspot in reasearching the 3d graphics. it is used for rendering the details of geometric surface, which makes the geometric surface look bumpy and increases the fidelity of scene
凹凸紋理映射技術是三維圖形學中近年來研究的一個熱點，它被使用來繪制物體表面的細節，使物體表面看起來具有粗糙感，增加繪制場景的真實程度。分享友人