precision weights 中文意思是什麼
precision weights
解釋
精密砝碼-
A set of indexes for evaluating the partner of alliance is given. considering some indexes are hard to precision estimate, and analyzes some factors affecting the weights of attributes such as valuator ' s attitude towards indexes, importance of indexes in decision - making and reliability of estimate, it put forward a mass statistics approach on evaluating the partner of alliance and determining the weights of attributes
建立了合作夥伴評價指標體系，考慮到一些指標很難給出準確的評價值，以及評價者對指標的重視程度、指標在決策中的作用、指標評價值的置信度等因素對評價結果的影響，提出了確定評價指標值以及指標權重的一種集值統計方法。 -
Precision flat and square steel bars ; dimensions, weights, permissible deviations
精製扁鋼和方鋼棒材.尺寸重量允許偏差 -
In or der to im prove the index precision, the keywords of classification on im age database is used for for m ing a three - level sem a ntics network, and then a unified fra m ework for sem a ntics and feature based relevance feedback in region - based im age retrieval is described, which is experim e nted by irrelatively adjusting the keywords and the weights in the distance m easuring
根據檢索要求，應用圖像庫的分類關鍵字建立圖像語義網路，採用一種綜合圖像中多數區域特徵的匹配策略，以及建立區域語義和低層特徵無縫結合的相關反饋檢索框架，通過不斷調整檢索關鍵字、檢索向量與距離測度中的權重系數的方法提高檢索準確度。 -
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。 -
Thanks to the high precision and reliability of the chain hoist testing set, awkward messing with heavy test weights is now a thing of the past
高精度安全可靠的鏈條起重設備測試系統，讓我們向以往笨拙臟亂的重型測試設備告別。 -
On the other hand, this algorithm determines the best weights of network and the minimal number of hidden nodes automatically according to the demand of model precision and the performance of tentative model. compared with the well - known bp ( back - propa
同時，為確保訓練而成的模型具有最少的隱節點數，本演算法根據擬合精度的要求，逐步增加前向網路的隱節點數，直至達到擬合要求。 -
For a precision torque tester, the test device will be calibrated against the torque generated by weights hanging at the end of a beam. calibration is made by applying torque of known values to the test device in sufficient number of steps ( normally about 7 ) distributed throughout its usable range, from lower test values to full scale capacity
由吊在杠桿尾端的砝碼而產生的扭力，將會用作校正精密扭力檢測儀。校正過程是對測試儀器加以已知的扭力。加以的扭力，在儀器的應用范圍內，逐級（通常為七級）由最低測試數值加至其最高扭量。 -
The learning algorithm is only based on linear least squares, and no iterative learning processes are needed. according to the demand of model precision, the algorithm determines the best weights of network and the minimal number of hidden nodes automatically
該學習演算法能夠根據擬合精度要求，運用線性最小二乘法確定相應的最佳網路權值和線性部分的參數，並自動確定最佳的隱層節點數。 -
Their weights vary with the velocity of the platform and the requirements of the precision and the data - rate of the ins or gps are very high at the beginning the distribution of the space - time spectrum of the clutter is studied
一方面，主瓣雜波的帶寬和斜率隨著掃描方位角的變化而變化；另一方面雜波的二維分佈隨著距離或俯仰角的變化而變化。
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