精神測定法 的英文怎麼說

中文拼音 [jīngshéncèdìngfǎ]
精神測定法 英文
psychometry
  • 精 : Ⅰ形容詞1 （經過提煉或挑選的） refined; picked; choice 2 （完美;最好） perfect; excellent 3 （細）...
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 定 : Ⅰ形容詞1 （平靜; 穩定） calm; stable 2 （已經確定的; 不改變的） fixed; settled; established Ⅱ動詞...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 精神 : 精神1 （指人的意識 思維活動和一般心理狀態） spirit; mind; consciousness 2 （宗旨; 主要意義） esse...
  • 測定 : determine; determination; setting-out; admeasurement; assignment; assay; finding
  1. To sum up, tested and validated by data sets of shenzhou iv unmanned spacecraft and precise orbit ephemeris, the algorithms presented in the thesis can improve orbit accuracy and reduce random noise considerablely. derived conclusions have important value for reference, and lay the firm technological foundation for future applications

    總之，經過神舟四號飛船實測數據計算和精密星歷檢驗，表明本文提出的各種定軌方法可以較好的提高定軌精度，減少隨機噪聲，所得出的結論對于實際應用具有重要的參考價值，並為將來的應用奠定了堅實的技術基礎。
  2. After the temperature measurement system is scaled by the black body furnace, we use least square method and neural network to calculate the temperature respectively according to the images taken from both the black body furnace and the common coal furnace. through comparison the calculation data with the result of thermocouple, an improved method of neural network is proposed. this method is more practical and precise

    根據標定結果，本文用最小二乘和神經網路兩種方法分別對黑體爐和普通煤爐的圖像進行了溫度計算；通過比較熱電偶輸出的溫度值和計算的結果，提出了一種改進的神經網路方法，該方法更適用於工程實際，其測溫精度較高。
  3. Finally, a soft sensor model of melt index in polymer reaction based on the proposed method is established, and the simulation results show that in contrast to the traditional fuzzy neural network the proposed method is not sensitive to initial parameters and possesses good convergence capability and prediction precision

    最後用該建模方法建立了聚合反應中熔融指數的軟測量模型，並與完全基於梯度下降的模糊神經網路軟測量模型進行比較。結果表明改進的模糊神經網路對初始值的選擇不敏感，並且具有很好的收斂性，同時還能達到指定的預測精度，很適合工程應用。
  4. Theoretically, on the basis of the analyses of the errors of typical units in measurement systems, the concept of the separating and tracing of the output errors is advanced. its methods are discussed and compared. the analysis method of generalized wavelet - neural network ( wnn ) is applied

    在理論上，首先在進行測量系統典型單元誤差分析的基礎上，論述了誤差分解與溯源的理論思想，並探討了進行動態誤差分解與溯源的方法，經過比較，確定了應用廣義小波神經網路的分析方法；然後，論述了精度損失診斷的理論與思想。
  5. The attenuation indexes of vertical direction components and level radial components of blast earthquake wave in the condition of far range are all larger than the one in the condition of close range. based on upwards analysises, relevant control ways and safety defending technology of blast vibration are given from the aspects of blast equipments, blast parameters, landform physiognomy, blast methods. and taking the practical data from blast scene as the sample, the blast shockproofness are forecasted by the feedforward nerve network model based on the prior knowledge of blast shockproofness, the regress analysis method and experience formula method, which supply the technology gist for

    並且，以爆破現場的實測數據為樣本，採用基於爆破震動強度先驗知識的前饋網路神經模型、回歸分析法及經驗公式法分別對爆破震動強度進行了預測研究，為爆破施工參數的確定提供了技術依據，確保整個爆破工程順利安全進行，並對這三種方法的預測結果進行了對比分析;對比分析表明，三種預測方法計算出來的結果精度相差甚大，從檢驗樣本值與預測結果值之間的相對誤差可以看出，人工神經網路法預測的結果較其他方法更接近於實際值，回歸分析預測法的精度又要高於經驗公式預測法。
  6. Among these numerous prediction methods, bp neutral network methods is considered as the best one and applied prevalently, with high precision, good effect and feasibility. so this study chose bp to predict water demand in tangshan city of the programming year of 2010 year. because the original statistic data of water resources utilizing was about resident living and factory producing, water demand with bp method was just the two

    對幾種典型需水量預測方法進行評析，在眾多預測方法中選擇應用最為廣泛、預測精度高、效果好的bp神經網路法預測規劃水平年2010年城市需水量，由於原始統計數據主要城市生活和工業用水， bp預測的也只是這兩部分用水量，對于農業用水則通過灌溉用水定額和灌溉面積計算，生態環境用水則是類比調查確定。
  7. The developed artificial neural network of piping has been trained and predicted by the collected data and the precision of predicted results is high, which proves that artificial neural network is an effective method to predict and judge the occurring of piping

    應用收集到的管涌數據對管涌人工神經網路模型進行訓練和預測，預測的結果精度較高，說明人工神經網路是預測判定管涌發生的有效方法。
  8. Aiming at the control feature of large ship, the authors designed a 2 - rank derivative multi - step neural network predictive model and the algorithm of the large delay ship ' s course, and presented a fuzzy control autopilot scheme based on the model with rbf neural network and fcmac controller, it solved problems of model online identification and controller online design in traditional adaptive control, so that the high precision output follow - up control of large ship with large delay and uncertain nonlinear features can be realized

    摘要針對大型船舶控制特性，設計了船舶航向的神經網路二階導數多步預測模型及其辨識和預測演算法，提出基於徑向基函數神經網路多步預測模型和模糊小腦模型關節神經網路控制器的大時滯船舶航向模糊控制自動舵方案，解決傳統自適應控制中模型的在線辨識和控制器的在線設計問題，以達到對具有大時滯、不確定非線性特性的大型船舶實現高精度輸出跟蹤控制。
  9. Artifical neural networks are employed for defect accurate recognition and calculation, the traditional bp neural network and wavelet basis function neural networks can successfully predict or estimate defect shape and geometry parameters, their application to the magnetic flux leakage inspection is put forward at first

    將神經網路模式識別方法應用到缺陷漏磁檢測中來，提出了用bp網路和小波神經網路對缺陷進行定量識別，精度高、效果好。
  10. In this paper, we present a multi - feature optimal fusion algorithm, inclusive of skin color, to detect one or multiple faces in color image with complex background. it is a hierarchical approach and integrates the skin color segmentation, face template matching and a neural network frontal face detector. with the elimination of false areas, the search area will become smaller and smaller, and the detection will be accomplished eventually

    該演算法是一種層次式、由粗到精的檢測方法，按照「分割-搜索」的檢測模式，將膚色分割、平均臉模板匹配與神經網路驗證結合起來，採取逐步排除的方法，一步一步縮小搜索區域，實現彩色圖像中單個或多個正面端正人臉的檢測與定位。
  11. In order to further video analysis, an algorithm of abrupt shot boundary detection based on fuzzy clustering neural network ( fcnn ) is proposed, and it has the advantages of high precision as well as robust to fast move. caption segmentation is the key to the whole process, fcnn can also be utilized to locate caption region, however, the technique is time - consuming. thus an improved projection segmentation method is presented, and the experimental results show that it is simple and practical, and fits for real - time processing

    為了便於后續的視頻分析，提出了一種基於模糊聚類神經網路（ fcnn ）的鏡頭突變檢測演算法，實現視頻鏡頭分割，該演算法具有檢測精度高、對運動穩健等優點；區域定位是字幕提取的關鍵一環，同樣利用fcnn分類器可實現字幕定位，但其運算量大，定位精度不高，因此提出了一種改進的投影分割方法實現字幕區域定位分割，實驗表明其簡單實用，適于實時處理；考慮到單個字元背景相對簡單，為此提出了一種基於單字元的字幕二值化演算法，最終在經由字元分割、二值化及殘留背景像素清除之後，得到了清晰、高質的字幕圖像，字元識別結果證明了這一點。
  12. After analyzing the desulfuration techniques, this dissertation optimizes the desulfuration static model through the effective data preprocessing and generalized genetic algorithm. the performance of the improved model proves better than traditional rbf model by the experiments

    本文在分析脫硫工藝的基礎上，通過有效的數據預處理和廣義遺傳演算法，優化了rbf神經網路脫硫靜態模型，通過測試，模型預報精度好於傳統rbf神經網路模型，具有一定的實用性和推廣性。
  13. In this paper, we analyze the statistic characters of time - delay in detail, and put forward to adopt elman nn to forecast time - delay intelligently, design appropriate compensator based on adaptive smith forecast theory. the experiment results prove that this method can improve the forecast accuracy and system ' s dynamic performance. in the application of real time data transmission, forward error correction ( fec ) is a good method to resume the lost data

    針對這個問題本文進行了詳盡的統計特性分析，並且提出採用elman動態神經網路結構對網路時延進行智能預測，並根據自適應smith預估補償控制原理設計合適的時延補償器，並且應用於基於web的二階水位控制系統中，實驗結果證明了採用此方法可以提高預測精度，使時延補償器適應時延變化的動態性更強，從而在保證系統穩定性的基礎上，西安理工大學碩士學位論文提高系統的時延補償精度。
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