共軛層 的英文怎麼說
中文拼音 [gòngècéng]
共軛層
英文
conjugate layer-
The fault controlled the magmatism and metallization relevant to the contact zone, and deformed successively and produced cataclastic rocks and two sets of joints ; the second stage was from late cretaceous to eocene. the fault zone deformed right - laterally under ne - sw striking transtention, and new joints zone was produced at the end of the two main faults because of local stress concentration. the fault produced inchoative cataclastic rocks, and two sets of typical joints in plutons ; the third stage of deformation was relatively faint and only a little of microcracks was produced and infilled with vei ns in the deformed rocks, which was during the himalayan movement
其後的繼承性活動在斷裂帶內形成碎裂程度最強達到碎裂巖的碎裂巖系列構造巖，變形帶兩側發育兩組典型的共軛剪節理；第二次在晚白堊世?始新世，斷裂在北東?南西向近水平擠壓作用下右行張扭性活動，斷裂帶兩主斷裂在斜列重疊的端部由於局部應力集中進一步擴展形成節理帶，而斷裂在巖體區也發育兩組典型的共軛剪節理，斷裂內形成初碎裂巖為主的構造巖；第三次是喜山期以西側抬升、東側下降的強烈升降為主的活動，在基巖中，主斷層兩側圍巖出現微破裂。If fc has no parabolic periodic points and is not renormalizable, then j ( fc ] is locally connected. here fc is renormalizable if there are simply connected domains u and u " and a positive integer n such that contains the critical point c or - c1 and is a quadratic - like mapping with connected julia set
這里， it稱為可重整化的定義為：存在單連通區域l 』 、 u 』及正整數n ；使得i 』 u ，仁』包含臨界點c或一c ， 」 ： r一u是一個二層分支覆蓋，且擬共形共軛於一個有連通julia集的二次多項式。The least square conjugate gradient and odd values decomposition method also can be used to perform tomographic inversion
研製的最小平方共軛梯度演算法和奇異值分解法也可進行同樣的層析反演。The method has special obvious advantages to diagnosis the faults when several faults exist simultaneously. the paper constructs a three - layer forward neural network to diagnosis the fault and trains the network with characteristic eigenvectors extracted through the wavelet packet analysis, when training the net using the method of adding inertia item and the bp algorithm of conjugate gradient method, at the same time adapt the initial data of the network through the test
同時，文中還構造了三層的前向神經網路，以小波包分析提取的故障特徵向量作為網路的訓練樣本數據，採用加慣性因子、共軛梯度法和迭代過程中改變學習率的反向傳播演算法來對神經網路進行訓練，並採用試驗的方法調整神經網路的初始值。分享友人