降神術的 的英文怎麼說

中文拼音 [jiàngshénshùde]
降神術的 英文
necromantic
  • 降 : 降動詞1. （投降） surrender; capitulate 2. （降伏） subdue; vanquish; tame
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 術 : 術名詞1. （技藝; 技術; 學術） art; skill; technique 2. （方法; 策略） method; tactics 3. （姓氏） a surname
  • 的 : 4次方是 The fourth power of 2 is direction
  1. Paladin healing 4 piece arena / pvp set bonus changed from " reduces the cooldown of your hammer of justice by 10 sec. " to " increases the healing from your holy shock spell by 30 %.

    神聖聖騎士的s套裝4件效果從「降低你制裁之錘的冷卻時間10秒」改成「增加你神聖震擊法術的治療效果30 % 」 。
  2. The factors include antecedent precipitation of low flow period and status of karst basins ( such as lithology, landform, drainage area, drainage density, length and ratio of demotion of main river and so on. ). based on the former studies, integrated the conventional statistic methods, the technique of anns is applied in this paper for researching the law of the low flow of karst basins in guizhou altiplano

    影響喀斯特流域枯水徑流的因素異常復雜，其影響因素主要有枯季前期降水量和巖性、地貌、流域面積、河網密度、主河道長度及其比降等流域下墊面狀況。本文在前人研究的基礎上，採用人工神經網路技術，結合傳統的統計方法，研究貴州高原上喀斯特流域的枯水徑流規律。
  3. It possesses not only the self - learning ability and adaptability, but also the function of self - adjusting factors. based on fuzzy set, neural network theory, the fuzzy control model and fuzzy neural network control model of multi variable system are presented. based on the automatic core - welding line of shop floor control system in yangzhou radiator plant computer integrated manufacturing system ( ys - cims / sfcs ), the fuzzy logic theory was applied to the controlling device and established the main heating room fuzzy temperature controller and finally was put into practical use

    本文採用了基於神經網路技術的智能pid控制策略，設計了一類具有自學習和自調整比例因子功能的神經元網路自適應pid控制器的結構及演算法；為解決結構不確定性的復雜多變量系統的控制，基於模糊集及模糊系統、神經網路理論，建立了多變量系統的模糊控制模型及模糊神經網路控制模型；針對揚州水箱廠計算機集成製造系統車間管理與控制系統（ ys - cims sfcs ）中的實際工程問題，設計和開發了散熱器芯子烘焊自動線主烘腔溫度模糊控制器，解決了生產中長期存在的老大難問題，提高了產品質量，降低了單產能耗。
  4. We analyzed the regular pattern of daily medicine cost change of operation inpatients during hospitalization in every group. the results indicated that the median line of daily medicine cost had similar regular pattern in operations on the nervous system, the musculoskeletal system, the nose, mouth, and pharynx system and the female genital organs system : the top of daily medicine cost median emerged on the day of operations ; the median of daily medicine cost was low in the period after operation, and the lowest in the period before operation. the median line of daily medicine cost of operations on the digestive system and the integumentary system keeped at a high level in the period of 1 - 6 days after operations

    手術病人日藥費隨住院時間的變化規律按icd - 9 - cm類目表的15個系統大類（解剖學分類）將住院手術病人分為15組，分析了各系統手術病人住院期間日藥品費用的變化規律，結果顯示：神經系統、肌肉骨骼系統、鼻口咽系統和女性生殖系統手術的日藥費中位數線圖具有相似的變化規律：手術病人住院期間的日藥費碩士學位論文中位數的峰值位於手術當日，且手術當日的日藥費變異最大；術后住院日的日藥費中位數明顯降低；術前住院日的日藥費中位數很低；消化系統和體被系統手術在手術當日及術后1 6天內的日藥費中位數維持在較高的水平。
  5. Taking the natural frequency arid the ratio of frequency drop as input characteristic parameters, crack damage in the cylindrical supporting shell of a portal crane is diagnosed and its length and position are forecasted, applying finite element emulation and artificial neural network technologies

    摘要應用有限元模擬技術和人工神經網路模型，以反映結構損傷程度的固有頻率和損傷的頻率下降率作為神經網路輸入的特徵參數，對門座起重機筒形支柱上出現的裂紋損傷長度和位置進行了綜合診斷和預測分析。
  6. The noise were often attached to the real hydrology time series yield by some unknown factors. to reduce the influence of them to the bp networks, the wavelet soft - threshold de - noising method was employed before bp networks began to train

    實測的水文數據中常常帶有由於許多未知因素的干擾而產生的噪聲，為減少噪聲對bp神經網路訓練過程的干擾，先用小波軟閾值技術對原始徑流序列進行降噪然後再進行網路訓練。
  7. Secondly, by incorporating the temporal difference prediction technique with the genetic algorithm, a novel hybrid genetic neural networks for controlling nonlinear chaotic system based on the scheme of small perturbations and the use of gradient descent learning method is presented ( known as hygann strategy )

    2 .研究了一種將暫態誤差預測技術、小擾動控制技術、梯度下降法和遺傳演算法（ ga ）融合起來控制非線性混沌系統的復合遺傳神經網路方法（簡稱hygann法） 。
  8. Upon using an artificial neural network ( ann ) a new short - term climate forecast model with the monthly mean rainfall in june in the north of guangxi as predictand is established making empirical orthogonal functions ( eof ) to the 36 predictors ( 15 ssa predictors, 21 500hpa height predictors ) with over 0. 05 significant correlation level of previous 500hpa height and sea surface temperature ( sst ) field, and selecting the high relative principal components, at the same time, a new approach of constructing ann learning matrix is developed. predictive capability between the new model ( principal components ann model ) and linear regression model for the same predictors is discussed based on the independent samples and historical samples

    本文通過對廣西北部6月平均降水量（預報量）同北半球月平均500hpa高度場和北太平洋月平均海溫場進行相關普查，選取了前期36個同預報量相關顯著水平達到0 . 05以上的預報因子（ 15個海溫場預報因子， 21個高度場預報因子） ，並運用自然正交函數展開方法對這36個前期預報因子展開，取其中同預報量相關程度高的主成分，結合人工神經網路技術，提出了一種新的構造人工神經網路學習矩陣的方法，建立了一種新的短期氣候預測模型。
  9. The main point of this project is to research the theories and applications of artificial neural network ( ann ) which is suitable for large scale science data mining. especially, our research focus include : dimension reduction techniques based on independent component analysis ( ica ) and wavelet - based denoising or compressing techniques for feature extraction in scientific datasets which have complex features ; classify and clustering techniques of ann combination with data grid, back - propagation neural network, self - growing multilevel self - organizing map for large scale knowledge founding in sdm

    特別深入研究以獨立分量分析（ ica ）為主的降維技術、以小波神經網路為主的壓縮降噪技術解決科學數據特徵復雜不便識別的問題;以同網格結合的神經網路、誤差反向傳播的bp神經網路、自適應多級自組織特徵映像網路為主的分類、聚類技術解決科學數據挖掘中的大規模知識發現問題。
  10. Experimental results show that the proposed techniques have good imperceptibility and can survive of common image processing operations and jpeg lossy compression with high robustness. the second one considered the watermarking system as a special digital communication system and introduced the ecc as channel coding technique. by using the turbo coding technique, we are able to reduce the watermark bit error rate and improve the robustness of the watermark so as to make counterfeiting attacks more difficult

    本文在保證水印不可見性的基礎上和載體圖像的允許降質范圍內，利用rbf神經網路技術實現數字水印信息的最大強度嵌入以增強數字水印抵禦各種惡意攻擊的穩健性;在通信論和信息論模型基礎上，引入ecc （差錯控制編碼）技術降低水印的誤碼率，使得提取水印信息更加可靠，使可能的水印攻擊變得更加困難，從而獲得更好的水印穩健性和可靠性。
  11. The electromagnetic mind - altering technologies would all fall into this class of weapons, but since they are all officially non - existent, who is to decide when and where they will be used

    電磁精神改變技術將使得這種武器的等級所有都下降，但自從它們是所有官方都否認存在的，誰能決定，什麼時候和在哪裡他們將被用到？
  12. Examples studies show that the strategy can lead to a reasonable test set which can increase the veracity of estimate. this strategy can be applied easily and improve the effect of al application observably

    實例證明該策略效果明顯，能夠很大程度上降低樣本分配的盲目性，能顯著地改善神經網路技術應用效果，具有重要科研價值。
  13. Some myths and associations are common to many wiccan traditions, such as the goddess ' giving birth to the horned god, the theme of their courtship and his death, the descent of the goddess into the realm of death and others

    某些神話和聯想與多數巫術崇拜傳統是相同的，例如賦予誕生的女神到有角的上帝、求愛和死亡的主題、降落在死亡和其它地方的女神。
  14. Then this paper presents a text classifier based on neural networks ( nntcs ) as the main topic. some key techniques implemented in this classifier, such as feature extraction, dimension reduction, hierarchical classification and classifier training, are discussed in details

    然後著重介紹了一個基於神經網路的文本自動分類系統nntcs ，重點闡述了特徵提取、空間降維、層次分類和分類器訓練等技術的實現方法。
  15. After nn has been introduced to principal component analysis ( pca ), the algorithm of principal component calculation is simplified and has higher precision and finer convergent property. in fdd

    神經網路理論引入到主元分析技術中，基於神經網路的主元分析演算法在降低了主元提取演算法的復雜性，改善了運算精度和收斂性。
  16. High - rise residences as a major way of solving residential problems have been developed very quickly in recent 20 years while a lot of problems of architecture form art which appear with the increasing number of high - rise residences have not been solved. this will result in the loss of features and characteristics of high - rise residences and the sameness of residential environment. meanwhile, the characterlessness and sameness will reduce the recognition of residents and they can hardly have a sense of approving and belonging

    在我國近二十年裡，高層居住建築作為解決城市居住問題的主要手段之一得到了飛速發展，但伴隨著數目的大量增長而產生的高層居住建築造型藝術問題如得不到解決，將會導致高層居住建築特徵和個性的喪失，並引發城市住居環境形象的千篇一律，同時這種無個性和千篇一律所帶來的隱患是住居場所可識別性降低，人們難以對居住環境產生認同感和歸屬感，這就迫使建築師們去反思、去探索，去創造符合時代精神的高層居住建築新形象。
  17. The application of rough sets theory and methods in neural network technology is studied. after combined rough sets theory with the neural network technology, the neural network recognition system based on rough set theory is advanced, in which rough sets theory is used to determine the number of neural network ' s input nodes. the complexity of neural network ' s structure is reduced

    論文對粗糙集理論及方法在神經網路技術中的應用進行了研究，從而將粗糙集理論與神經網路技術相結合，提出了基於粗糙集理論的神經網路識別系統，利用粗糙集理論來確定神經網路的輸入節點數，降低了神經網路的結構的復雜性，給出了該演算法的詳細步驟。
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